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  2024 (2)
Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks. Shrestha, A.; Duran, J.; Spezzano, F.; and Serra, E. ACM Trans. Web, 18(1): 6:1–6:24. 2024.
Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks [link]Paper   doi   link   bibtex  
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). Jobe, A.; Ky, R.; Luo, S.; Dhamsania, A.; Purohit, S.; and Serra, E. In Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, pages 23525–23527, 2024.
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) [link]Paper   doi   link   bibtex  
  2023 (10)
Structural iterative lexicographic autoencoded node representation. Joaristi, M.; and Serra, E. Data Min. Knowl. Discov., 37(1): 289–317. 2023.
Structural iterative lexicographic autoencoded node representation [link]Paper   doi   link   bibtex  
Editorial: Security and privacy for the Internet of Things. Rullo, A.; Ianni, M.; and Serra, E. Frontiers Comput. Sci., 5. 2023.
Editorial: Security and privacy for the Internet of Things [link]Paper   doi   link   bibtex  
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. Layne, J.; Carpenter, J.; Serra, E.; and Gullo, F. Proc. VLDB Endow., 16(9): 2075–2089. 2023.
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs [pdf]Paper   doi   link   bibtex  
A Novel Method to Enable Transfer Learning of Structural Graph Representations. Layne, J.; and Serra, E. In IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023, pages 5842–5851, 2023.
A Novel Method to Enable Transfer Learning of Structural Graph Representations [link]Paper   doi   link   bibtex  
An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability. Cuzzocrea, A.; Ratul, Q. E. A.; Belmerabet, I.; and Serra, E. In 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023, Torino, Italy, June 26-30, 2023, pages 1030–1036, 2023.
An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability [link]Paper   doi   link   bibtex  
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. Lakha, B.; Duran, J.; Serra, E.; and Spezzano, F. In 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023, pages 1–8, 2023.
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph [link]Paper   doi   link   bibtex  
Structural Node Representation Learning for Detecting Botnet Nodes. Carpenter, J.; Layne, J.; Serra, E.; Cuzzocrea, A.; and Gallo, C. In Computational Science and Its Applications - ICCSA 2023 - 23rd International Conference, Athens, Greece, July 3-6, 2023, Proceedings, Part I, pages 731–743, 2023.
Structural Node Representation Learning for Detecting Botnet Nodes [link]Paper   doi   link   bibtex  
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. Cuzzocrea, A.; Quebrado, M.; Hafsaoui, A.; and Serra, E. In 10th IEEE Swiss Conference on Data Science, SDS 2023, Zurich, Switzerland, June 22-23, 2023, pages 34–41, 2023.
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution [link]Paper   doi   link   bibtex  
Attribution Methods Assessment for Interpretable Machine Learning. Cuzzocrea, A.; Ratul, Q. E. A.; Belmerabet, I.; and Serra, E. In Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023, pages 65–75, 2023.
Attribution Methods Assessment for Interpretable Machine Learning [pdf]Paper   link   bibtex  
Graph Representation Learning for Complex Security Problems. Cuzzocrea, A.; Quebrado, M.; Hafsaoui, A.; and Serra, E. In Proceedings of the 31st Symposium of Advanced Database Systems, Galzingano Terme, Italy, July 2nd to 5th, 2023, pages 279–290, 2023.
Graph Representation Learning for Complex Security Problems [pdf]Paper   link   bibtex  
  2022 (10)
Machine learning methods for generating high dimensional discrete datasets. Manco, G.; Ritacco, E.; Rullo, A.; Saccà, D.; and Serra, E. WIREs Data Mining Knowl. Discov., 12(2). 2022.
Machine learning methods for generating high dimensional discrete datasets [link]Paper   doi   link   bibtex  
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). Benjamin, A.; Herzoff, J.; Babinkostova, L.; and Serra, E. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pages 12911–12912, 2022.
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract) [link]Paper   doi   link   bibtex  
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract). Fairbanks, J.; Orbe, A.; Patterson, C.; Serra, E.; and Scheepers, M. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pages 12941–12942, 2022.
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract) [link]Paper   doi   link   bibtex  
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). Kitzhaber, J.; Trapp, A.; Beck, J.; Serra, E.; Spezzano, F.; Hayden, E.; and Roberts, J. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pages 12985–12986, 2022.
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract) [link]Paper   doi   link   bibtex  
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. Das, S. S.; Halappanavar, M.; Tumeo, A.; Serra, E.; Pothen, A.; and Al-Shaer, E. In IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 1224–1229, 2022.
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators [link]Paper   doi   link   bibtex  
GAPS: Generality and Precision with Shapley Attribution. Daley, B.; Ratul, Q. E. A.; Serra, E.; and Cuzzocrea, A. In IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 5444–5450, 2022.
GAPS: Generality and Precision with Shapley Attribution [link]Paper   doi   link   bibtex  
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset. Lakha, B.; Mount, S. L.; Serra, E.; and Cuzzocrea, A. In IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 5756–5764, 2022.
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset [link]Paper   doi   link   bibtex  
COVID-19 and Haters - A User Model Perspective. Mehrotra, S.; Squicciarini, A. C.; Serra, E.; and Karimi, Y. In 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, pages 1–9, 2022.
COVID-19 and Haters - A User Model Perspective [link]Paper   doi   link   bibtex  
Generating Synthetic Discrete Datasets with Machine Learning. Manco, G.; Ritacco, E.; Rullo, A.; Saccà, D.; and Serra, E. In Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022, pages 341–350, 2022.
Generating Synthetic Discrete Datasets with Machine Learning [pdf]Paper   link   bibtex  
Disinformation in Open Online Media - 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022, Proceedings. Spezzano, F.; Amaral, A. M.; Ceolin, D.; Fazio, L.; and Serra, E., editors. Volume 13545, of Lecture Notes in Computer Science.Springer. 2022.
Disinformation in Open Online Media - 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022, Proceedings [link]Paper   doi   link   bibtex  
  2021 (15)
The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings. Campedelli, G. M.; Layne, J.; Herzoff, J.; and Serra, E. J. Complex Networks, 10(2). 2021.
The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings [link]Paper   doi   link   bibtex  
A multi-perspective approach for the analysis of complex business processes behavior. Guzzo, A.; Joaristi, M.; Rullo, A.; and Serra, E. Expert Syst. Appl., 177: 114934. 2021.
A multi-perspective approach for the analysis of complex business processes behavior [link]Paper   doi   link   bibtex  
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. Joaristi, M.; and Serra, E. ACM Trans. Knowl. Discov. Data, 15(6): 100:1–100:39. 2021.
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes [link]Paper   doi   link   bibtex  
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization. Serra, E.; Ayyapureddi, S.; Ratul, Q. E. A.; and Squicciarini, A. C. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 1204–1213, 2021.
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization [link]Paper   doi   link   bibtex  
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. Daley, B.; Serra, E.; and Cuzzocrea, A. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5095–5101, 2021.
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning [link]Paper   doi   link   bibtex  
Evaluating Attribution Methods in Machine Learning Interpretability. Ratul, Q. E. A.; Serra, E.; and Cuzzocrea, A. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5239–5245, 2021.
Evaluating Attribution Methods in Machine Learning Interpretability [link]Paper   doi   link   bibtex  
Detecting Botnet Nodes via Structural Node Representation Learning. Carpenter, J.; Layne, J.; Serra, E.; and Cuzzocrea, A. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5357–5364, 2021.
Detecting Botnet Nodes via Structural Node Representation Learning [link]Paper   doi   link   bibtex  
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. Quebrado, M.; Serra, E.; and Cuzzocrea, A. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5441–5449, 2021.
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning [link]Paper   doi   link   bibtex  
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. Fairbanks, J.; Orbe, A.; Patterson, C.; Layne, J.; Serra, E.; and Scheepers, M. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 5602–5608, 2021.
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability [link]Paper   doi   link   bibtex  
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. Das, S. S.; Serra, E.; Halappanavar, M.; Pothen, A.; and Al-Shaer, E. In 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021, pages 1–12, 2021.
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities [link]Paper   doi   link   bibtex  
cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. Xiang, L.; Khan, A.; Serra, E.; Halappanavar, M.; and Sukumaran-Rajam, A. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2021, St. Louis, Missouri, USA, November 14-19, 2021, pages 69, 2021.
cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure [link]Paper   doi   link   bibtex  
An Effective and Efficient Graph Representation Learning Approach for Big Graphs. Serra, E.; Joaristi, M.; Cuzzocrea, A.; Soufargi, S.; and Leung, C. K. In Proceedings of the 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Pizzo Calabro (VV), Italy, September 5-9, 2021, pages 140–149, 2021.
An Effective and Efficient Graph Representation Learning Approach for Big Graphs [pdf]Paper   link   bibtex  
Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper). Saccà, D.; Serra, E.; and Rullo, A. In Proceedings of the 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Pizzo Calabro (VV), Italy, September 5-9, 2021, pages 347–354, 2021.
Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper) [pdf]Paper   link   bibtex  
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. Das, S. S.; Serra, E.; Halappanavar, M.; Pothen, A.; and Al-Shaer, E. CoRR, abs/2102.11498. 2021.
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities [link]Paper   link   bibtex  
Inferential SIR-GN: Scalable Graph Representation Learning. Layne, J.; and Serra, E. CoRR, abs/2111.04826. 2021.
Inferential SIR-GN: Scalable Graph Representation Learning [link]Paper   link   bibtex  
  2020 (9)
Top-k user-specified preferred answers in massive graph databases. Park, N.; Pugliese, A.; Serra, E.; and Subrahmanian, V. S. Data Knowl. Eng., 127: 101798. 2020.
Top-k user-specified preferred answers in massive graph databases [link]Paper   doi   link   bibtex  
Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums. Shrestha, A.; Serra, E.; and Spezzano, F. Netw. Model. Anal. Health Informatics Bioinform., 9(1): 22. 2020.
Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums [link]Paper   doi   link   bibtex  
PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. Chen, H.; Hajiaghayi, M. T.; Kraus, S.; Sawant, A.; Serra, E.; Subrahmanian, V. S.; and Xiong, Y. IEEE Trans. Comput. Soc. Syst., 7(1): 42–57. 2020.
PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications [link]Paper   doi   link   bibtex  
Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence. Winiecki, D.; Kappelman, K.; Hay, B.; Joaristi, M.; Serra, E.; and Spezzano, F. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020, pages 752–759, 2020.
Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence [link]Paper   doi   link   bibtex  
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. Korzh, O.; Sharma, A.; Joaristi, M.; Serra, E.; and Cuzzocrea, A. In 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, pages 5098–5107, 2020.
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning [link]Paper   doi   link   bibtex  
Large-scale Sparse Structural Node Representation. Serra, E.; Joaristi, M.; and Cuzzocrea, A. In 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, pages 5247–5253, 2020.
Large-scale Sparse Structural Node Representation [link]Paper   doi   link   bibtex  
DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems. Serra, E.; Shrestha, A.; Spezzano, F.; and Squicciarini, A. C. In CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, New Orleans, LA, USA, March 16-18, 2020, pages 29–38, 2020.
DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems [link]Paper   doi   link   bibtex  
vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks. Khamaiseh, S.; Serra, E.; and Xu, D. In 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020, Madrid, Spain, July 13-17, 2020, pages 851–860, 2020.
vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks [link]Paper   doi   link   bibtex  
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes. Rullo, A.; Guzzo, A.; Serra, E.; and Tirrito, E. In Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I, pages 51–63, 2020.
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes [link]Paper   doi   link   bibtex  
  2019 (7)
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications. Saccà, D.; Serra, E.; and Rullo, A. Data Min. Knowl. Discov., 33(6): 1736–1774. 2019.
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications [link]Paper   doi   link   bibtex  
Detecting suspicious entities in Offshore Leaks networks. Joaristi, M.; Serra, E.; and Spezzano, F. Soc. Netw. Anal. Min., 9(1): 62:1–62:15. 2019.
Detecting suspicious entities in Offshore Leaks networks [link]Paper   doi   link   bibtex  
Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice!. Saccà, D.; and Serra, E. In AI*IA 2019 - Advances in Artificial Intelligence - XVIIIth International Conference of the Italian Association for Artificial Intelligence, Rende, Italy, November 19-22, 2019, Proceedings, pages 193–209, 2019.
Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice! [link]Paper   doi   link   bibtex  
RIBS: Risky Blind-Spots for Attack Classification Models. Joaristi, M.; Putnam, A.; Cuzzocrea, A.; and Serra, E. In 2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, pages 5773–5779, 2019.
RIBS: Risky Blind-Spots for Attack Classification Models [link]Paper   doi   link   bibtex  
Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS). Rasapour, F.; Serra, E.; and Mehrpouyan, H. In 2019 Seventh International Symposium on Computing and Networking, CANDAR 2019, Nagasaki, Japan, November 25-28, 2019, pages 211–217, 2019.
Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS) [link]Paper   doi   link   bibtex  
Detecting Saturation Attacks in SDN via Machine Learning. Khamaiseh, S.; Serra, E.; Li, Z.; and Xu, D. In 2019 4th International Conference on Computing, Communications and Security (ICCCS), Rome, Italy, October 10-12, 2019, pages 1–8, 2019.
Detecting Saturation Attacks in SDN via Machine Learning [link]Paper   doi   link   bibtex  
Optimal Placement of Security Resources for the Internet of Things. Rullo, A.; Serra, E.; Bertino, E.; and Lobo, J. In The Internet of Things for Smart Urban Ecosystems, pages 95–124. 2019.
Optimal Placement of Security Resources for the Internet of Things [link]Paper   doi   link   bibtex  
  2018 (10)
Hybrid adversarial defense: Merging honeypots and traditional security methods. Chakraborty, T.; Jajodia, S.; Park, N.; Pugliese, A.; Serra, E.; and Subrahmanian, V. S. J. Comput. Secur., 26(5): 615–645. 2018.
Hybrid adversarial defense: Merging honeypots and traditional security methods [link]Paper   doi   link   bibtex  
SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. Jajodia, S.; Park, N.; Serra, E.; and Subrahmanian, V. S. ACM Trans. Internet Techn., 18(3): 30:1–30:41. 2018.
SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine [link]Paper   doi   link   bibtex  
Inferring Bad Entities Through the Panama Papers Network. Joaristi, M.; Serra, E.; and Spezzano, F. In IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, pages 767–773, 2018.
Inferring Bad Entities Through the Panama Papers Network [link]Paper   doi   link   bibtex  
Unknown Landscape Identification with CNN Transfer Learning. Serra, E.; Sharma, A.; Joaristi, M.; and Korzh, O. In IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, pages 813–820, 2018.
Unknown Landscape Identification with CNN Transfer Learning [link]Paper   doi   link   bibtex  
Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning. Korzh, O.; Joaristi, M.; and Serra, E. In Big Data - BigData 2018 - 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings, pages 110–123, 2018.
Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning [link]Paper   doi   link   bibtex  
Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review. Rullo, A.; Serra, E.; and Lobo, J. In Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, PADG@ESORICS 2018, September 6, 2018, Barcelona, Spain], pages 202–226, 2018.
Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review [link]Paper   doi   link   bibtex  
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. Serra, E.; Akella, H.; and Cuzzocrea, A. In 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018, pages 1479–1485, 2018.
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments [link]Paper   doi   link   bibtex  
The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution. Saccà, D.; Serra, E.; and Cuzzocrea, A. In Proceedings of the 22nd International Database Engineering & Applications Symposium, IDEAS 2018, Villa San Giovanni, Italy, June 18-20, 2018, pages 148–156, 2018.
The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution [link]Paper   doi   link   bibtex  
Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification. Korzh, O.; and Serra, E. In Intelligent Systems and Applications - Proceedings of the 2018 Intelligent Systems Conference, IntelliSys 2018, London, UK, September 6-7, 2018, Volume 2, pages 1237–1244, 2018.
Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification [link]Paper   doi   link   bibtex  
Inverse Tree-OLAP: Definition, Complexity and First Solution. Saccà, D.; Serra, E.; and Cuzzocrea, A. In Proceedings of the 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Taranto), Italy, June 24-27, 2018, 2018.
Inverse Tree-OLAP: Definition, Complexity and First Solution [pdf]Paper   link   bibtex  
  2017 (6)
A Probabilistic Logic of Cyber Deception. Jajodia, S.; Park, N.; Pierazzi, F.; Pugliese, A.; Serra, E.; Simari, G. I.; and Subrahmanian, V. S. IEEE Trans. Inf. Forensics Secur., 12(11): 2532–2544. 2017.
A Probabilistic Logic of Cyber Deception [link]Paper   doi   link   bibtex  
Pareto Optimal Security Resource Allocation for Internet of Things. Rullo, A.; Midi, D.; Serra, E.; and Bertino, E. ACM Trans. Priv. Secur., 20(4): 15:1–15:30. 2017.
Pareto Optimal Security Resource Allocation for Internet of Things [link]Paper   doi   link   bibtex  
Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios. Rullo, A.; Serra, E.; Bertino, E.; and Lobo, J. In Computer Security - ESORICS 2017 - 22nd European Symposium on Research in Computer Security, Oslo, Norway, September 11-15, 2017, Proceedings, Part II, pages 419–436, 2017.
Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios [link]Paper   doi   link   bibtex  
Shortfall-Based Optimal Security Provisioning for Internet of Things. Rullo, A.; Serra, E.; Bertino, E.; and Lobo, J. In 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, GA, USA, June 5-8, 2017, pages 2585–2586, 2017.
Shortfall-Based Optimal Security Provisioning for Internet of Things [link]Paper   doi   link   bibtex  
A Game of Things: Strategic Allocation of Security Resources for IoT. Rullo, A.; Midi, D.; Serra, E.; and Bertino, E. In Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, IoTDI 2017, Pittsburgh, PA, USA, April 18-21, 2017, pages 185–190, 2017.
A Game of Things: Strategic Allocation of Security Resources for IoT [link]Paper   doi   link   bibtex  
Evaluating the Privacy Implications of Frequent Itemset Disclosure. Serra, E.; Vaidya, J.; Akella, H.; and Sharma, A. In ICT Systems Security and Privacy Protection - 32nd IFIP TC 11 International Conference, SEC 2017, Rome, Italy, May 29-31, 2017, Proceedings, pages 506–519, 2017.
Evaluating the Privacy Implications of Frequent Itemset Disclosure [link]Paper   doi   link   bibtex  
  2016 (7)
Using temporal probabilistic logic for optimal monitoring of security events with limited resources. Jajodia, S.; Park, N.; Serra, E.; and Subrahmanian, V. S. J. Comput. Secur., 24(6): 735–791. 2016.
Using temporal probabilistic logic for optimal monitoring of security events with limited resources [link]Paper   doi   link   bibtex  
Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research. Saccà, D.; Serra, E.; and Piccolo, A. In Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, Panama City, Panama, May 8-10, 2016, 2016.
Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research [pdf]Paper   link   bibtex  
Evaluating the impact of social media in detecting health-violating restaurants. Joaristi, M.; Serra, E.; and Spezzano, F. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016, pages 626–633, 2016.
Evaluating the impact of social media in detecting health-violating restaurants [link]Paper   doi   link   bibtex  
Strategic Security Resource Allocation for Internet of Things. Rullo, A.; Midi, D.; Serra, E.; and Bertino, E. In 36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016, Nara, Japan, June 27-30, 2016, pages 737–738, 2016.
Strategic Security Resource Allocation for Internet of Things [link]Paper   doi   link   bibtex  
Metric Logic Program Explanations for Complex Separator Functions. Kumar, S.; Serra, E.; Spezzano, F.; and Subrahmanian, V. S. In Scalable Uncertainty Management - 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings, pages 199–213, 2016.
Metric Logic Program Explanations for Complex Separator Functions [link]Paper   doi   link   bibtex  
ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks. Serra, E.; Spezzano, F.; and Subrahmanian, V. S. In Scalable Uncertainty Management - 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings, pages 303–319, 2016.
ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks [link]Paper   doi   link   bibtex  
Ensemble Models for Data-driven Prediction of Malware Infections. Kang, C.; Park, N.; Prakash, B. A.; Serra, E.; and Subrahmanian, V. S. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, pages 583–592, 2016.
Ensemble Models for Data-driven Prediction of Malware Infections [link]Paper   doi   link   bibtex  
  2015 (4)
Saving Rhinos with Predictive Analytics. Park, N.; Serra, E.; and Subrahmanian, V. S. IEEE Intell. Syst., 30(4): 86–88. 2015.
Saving Rhinos with Predictive Analytics [link]Paper   doi   link   bibtex  
APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. Park, N.; Serra, E.; Snitch, T.; and Subrahmanian, V. S. IEEE Trans. Comput. Soc. Syst., 2(2): 15–37. 2015.
APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine [link]Paper   doi   link   bibtex  
Pareto-Optimal Adversarial Defense of Enterprise Systems. Serra, E.; Jajodia, S.; Pugliese, A.; Rullo, A.; and Subrahmanian, V. S. ACM Trans. Inf. Syst. Secur., 17(3): 11:1–11:39. 2015.
Pareto-Optimal Adversarial Defense of Enterprise Systems [link]Paper   doi   link   bibtex  
An Effective GPU-Based Approach to Probabilistic Query Confidence Computation. Serra, E.; and Spezzano, F. IEEE Trans. Knowl. Data Eng., 27(1): 17–31. 2015.
An Effective GPU-Based Approach to Probabilistic Query Confidence Computation [link]Paper   doi   link   bibtex  
  2014 (3)
Behavior Informatics: A New Perspective. Cao, L.; Joachims, T.; Wang, C.; Gaussier, É.; Li, J.; Ou, Y.; Luo, D.; Zafarani, R.; Liu, H.; Xu, G.; Wu, Z.; Pasi, G.; Zhang, Y.; Yang, X.; Zha, H.; Serra, E.; and Subrahmanian, V. S. IEEE Intell. Syst., 29(4): 62–80. 2014.
Behavior Informatics: A New Perspective [link]Paper   doi   link   bibtex  
A Survey of Quantitative Models of Terror Group Behavior and an Analysis of Strategic Disclosure of Behavioral Models. Serra, E.; and Subrahmanian, V. S. IEEE Trans. Comput. Soc. Syst., 1(1): 66–88. 2014.
A Survey of Quantitative Models of Terror Group Behavior and an Analysis of Strategic Disclosure of Behavioral Models [link]Paper   doi   link   bibtex  
ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks. Serra, E.; Spezzano, F.; and Subrahmanian, V. S. CoRR, abs/1410.6118. 2014.
ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks [link]Paper   link   bibtex  
  2013 (6)
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs. Guzzo, A.; Moccia, L.; Saccà, D.; and Serra, E. ACM Trans. Knowl. Discov. Data, 7(4): 18:1–18:39. 2013.
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs [link]Paper   doi   link   bibtex  
A declarative extension of horn clauses, and its significance for datalog and its applications. Mazuran, M.; Serra, E.; and Zaniolo, C. Theory Pract. Log. Program., 13(4-5): 609–623. 2013.
A declarative extension of horn clauses, and its significance for datalog and its applications [link]Paper   doi   link   bibtex  
Extending the power of datalog recursion. Mazuran, M.; Serra, E.; and Zaniolo, C. VLDB J., 22(4): 471–493. 2013.
Extending the power of datalog recursion [link]Paper   doi   link   bibtex  
A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance. Mazuran, M.; Serra, E.; and Zaniolo, C. In Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, Puebla/Cholula, Mexico, May 21-23, 2013, 2013.
A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance [pdf]Paper   link   bibtex  
Data Posting: a New Frontier for Data Exchange in the Big Data Era. Saccà, D.; and Serra, E. In Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, Puebla/Cholula, Mexico, May 21-23, 2013, 2013.
Data Posting: a New Frontier for Data Exchange in the Big Data Era [pdf]Paper   link   bibtex  
Multi-Sorted Inverse Frequent Itemsets Mining. Saccà, D.; Serra, E.; Dicosta, P.; and Piccolo, A. CoRR, abs/1310.3939. 2013.
Multi-Sorted Inverse Frequent Itemsets Mining [link]Paper   link   bibtex  
  2012 (4)
Data Exchange in Datalog Is Mainly a Matter of Choice. Saccà, D.; and Serra, E. In Datalog in Academia and Industry - Second International Workshop, Datalog 2.0, Vienna, Austria, September 11-13, 2012. Proceedings, pages 153–164, 2012.
Data Exchange in Datalog Is Mainly a Matter of Choice [link]Paper   doi   link   bibtex  
Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange. Saccà, D.; Serra, E.; and Guzzo, A. In Foundations of Information and Knowledge Systems - 7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012. Proceedings, pages 352–369, 2012.
Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange [link]Paper   doi   link   bibtex  
Count Constraints for Inverse OLAP and Aggregate Data Exchange. Saccà, D.; Serra, E.; and Guzzo, A. In Twentieth Italian Symposium on Advanced Database Systems, SEBD 2012, Venice, Italy, June 24-27, 2012, Proceedings, pages 27–34, 2012.
Count Constraints for Inverse OLAP and Aggregate Data Exchange [link]Paper   link   bibtex  
An Extension of Datalog for Graph Queries. Mazuran, M.; Serra, E.; and Zaniolo, C. In Twentieth Italian Symposium on Advanced Database Systems, SEBD 2012, Venice, Italy, June 24-27, 2012, Proceedings, pages 177–184, 2012.
An Extension of Datalog for Graph Queries [link]Paper   link   bibtex  
  2011 (1)
A Decomposition Technique for the Inverse Frequent Itemset Mining Problem. Guzzo, A.; Moccia, L.; Saccà, D.; and Serra, E. In Sistemi Evoluti per Basi di Dati - SEBD 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011, pages 66–75, 2011.
link   bibtex  
  2009 (1)
An Effective Approach to Inverse Frequent Set Mining. Guzzo, A.; Saccà, D.; and Serra, E. In ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, pages 806–811, 2009.
An Effective Approach to Inverse Frequent Set Mining [link]Paper   doi   link   bibtex