@inproceedings{gong2026from,
  title={From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum},
  author={Gong, Chen and Li, Kecen and Lin, Zinan and Wang, Tianhao},
  booktitle={USENIX Security},
  year={2026}
}

@inproceedings{fu2026towards,
  title={Distributed Synthesis of Differentially Private Tabular Datasets},
  author={Fu, Yucheng and Gu, Tianyao and Shi, Elaine and Wang, Tianhao},
  booktitle={USENIX Security},
  year={2026}
}

@article{li2026hetero,
  title={HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings},
  author={Li, Xiaochen and Wei, Xizixiang and Gao, Fengyu and Wang, Tianhao and Shen, Cong and Yang, Jing},
  journal={SIGMOD},
  year={2026}
}

@article{chen2026benchmarking,
  title={Benchmarking Differentially Private Tabular Data Synthesis [Experiments \& Analysis]},
  author={Chen, Kai and Li, Xiaochen and Gong, Chen and McKenna, Ryan and Wang, Tianhao},
  journal={SIGMOD},
  year={2026}
}

@inproceedings{gong2026privorl,
  title={{PrivORL}: Differentially Private Synthetic Dataset for Offline Reinforcement Learning},
  author={Gong, Chen and Li, Kecen and Liu, Zheng and Wang, Tianhao},
  booktitle={NDSS},
  year={2026}
}

@inproceedings{liu2026privcode,
  title={{PrivCode}: When Code Synthesis Meets Differential Privacy},
  author={Liu, Zheng and Gong, Chen and Zhuo, Terry Yue and Li, Kecen and Yu, Weichen and Fredrikson, Matt and Wang, Tianhao},
  booktitle={NDSS},
  year={2026}
}

@inproceedings{liu2026expshield,
  title={{ExpShield}: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation},
  author={Liu, Ruixuan and Tran, Toan and Wang, Tianhao and Hu, Hongsheng and Wang, Shuo and Xiong, Li},
  booktitle={NDSS},
  year={2026}
}

@inproceedings{xiang2026revisiting,
  title={Revisiting Differentially Private Hyper-parameter Tuning},
  author={Xiang, Zihang and Wang, Tianhao and Wang, Chenglong and Wang, Di},
  booktitle={NDSS},
  year={2026}
}

@inproceedings{pang2026paladin,
  title={Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm},
  author={Pang, Yan and Meng, Wenlong and Liao, Xiaojing and Wang, Tianhao},
  booktitle={NDSS},
  year={2026}
}

@article{wei2026differentially,
  title={Differentially Private Wireless Federated Learning Using Orthogonal Sequences},
  author={Wei, Xizixiang and Wang, Tianhao and Huang, Ruiquan and Shen, Cong and Yang, Jing and Poor, Vincent},
  journal={IEEE Transactions on Information Theory},
  year={2026}
}

@inproceedings{gong2025dpimagebench,
  title={DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis},
  author={Gong, Chen and Li, Kecen and Lin, Zinan and Wang, Tianhao},
  booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},
  year={2025}
}

@inproceedings{li2025from,
  title={From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis},
  author={Li, Kecen and Gong, Chen and Li, Xiaochen and Zhao, Yuzhong and Hou, Xinwen and Wang, Tianhao},
  booktitle={2025 IEEE Symposium on Security and Privacy (SP)},
  year={2025},
  organization={IEEE Computer Society}
}

@inproceedings{xiang2025privacy,
  title={Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run},
  author={Xiang, Zihang and Wang, Tianhao and Wang, Di},
  year={2025},
  booktitle={USENIX Security},
}

@inproceedings{gao2025data,
  title={Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning},
  author={Gao, Fengyu and Zhou, Ruida and Wang, Tianhao and Shen, Cong and Yang, Jing},
  booktitle={ICLR},
  year={2025}
}

@article{pang2025white,
  title={White-box membership inference attacks against diffusion models},
  author={Pang, Yan and Wang, Tianhao and Kang, Xuhui and Huai, Mengdi and Zhang, Yang},
  journal={PETS},
  year={2025}
}

@inproceedings{ye2025revisiting,
  title={Revisiting EM-based Estimation for Locally Differentially Private Protocols},
  author={Ye, Yutong and Wang, Tianhao and Zhang, Min and Feng, Dengguo},
  booktitle={NDSS},
  year={2025}
}

@inproceedings{gong2025trajdeleter,
  title={{TrajDeleter}: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents},
  author={Gong, Chen and Li, Kecen and Yao, Jin and Wang, Tianhao},
  booktitle={NDSS},
  year={2025}
}

@inproceedings{pang2025black,
  title={Black-box Membership Inference Attacks against Fine-tuned Diffusion Models},
  author={Pang, Yan and Wang, Tianhao},
  booktitle={NDSS},
  year={2025}
}

@inproceedings{pang2025towards,
  title={Towards Understanding Unsafe Video Generation},
  author={Pang, Yan and Xiong, Aiping and Zhang, Yang and Wang, Tianhao},
  booktitle={NDSS},
  year={2025}
}

@inproceedings{li2025delay,
  title={Delay-allowed Differentially Private Data Stream Release},
  author={Li, Xiaochen and Qin, Zhan and Ren, Kui and Gong, Chen and Feng, Shuya and Hong, Yuan and Wang, Tianhao},
  booktitle={NDSS},
  year={2025}
}

@inproceedings{li2025spas,
  title={SPAS: Continuous Release of Data Streams under w-Event Differential Privacy},
  author={Li, Xiaochen and Li, Tianyu and Cheng, Yitian and Gong, Chen and Qin, Zhan and Ren, Kui and Wang, Tianhao},
  year={2024},
  booktitle={SIGMOD},
}

@inproceedings{sun2024netdpsyn,
  title = {{NetDPSyn}: Synthesizing Network Traces under Differential Privacy},
  author = {Sun, Danyu and Chen, Joann Qiongna and Gong, Chen and Wang, Tianhao and Li, Zhou},
  booktitle = {Proceedings of the ACM Internet Measurement Conference (IMC)},
  year = {2024},
}

@book{drechsler2024handbook,
  title={Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data},
  author={Drechsler, J{\"o}rg and Kifer, Daniel and Reiter, Jerome and Slavkovi{\'c}, Aleksandra},
  year={2024},
  publisher={CRC Press}
}

@inproceedings{yao2024machine,
  title={Machine Unlearning of Pre-trained Large Language Models},
  author={Yao, Jin and Chien, Eli and Du, Minxin and Niu, Xinyao and Wang, Tianhao and Cheng, Zezhou and Yue, Xiang},
  booktitle={ACL},
  year={2024}
}

@inproceedings{fu2024benchmarking,
  title={Benchmarking Secure Sampling Protocols for Differential Privacy},
  author={Fu, Yucheng and Wang, Tianhao},
  booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},
  year={2024}
}

@inproceedings{liu2024precurious,
  title={{PreCurious}: How Innocent Pre-Trained Language Models Turn into Privacy Traps},
  author={Liu, Ruixuan and Wang, Tianhao and Cao, Yang and Xiong, Li},
  booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},
  year={2024}
}

@inproceedings{zhang2024towards,
  title={Towards Certified Unlearning for Deep Neural Networks},
  author={Zhang, Binchi and Dong, Yushun and Wang, Tianhao and Li, Jundong},
  booktitle={Forty-first International Conference on Machine Learning},
  year={2024}
}

@inproceedings{liu2024backdoor,
  title={Backdoor attacks via machine unlearning},
  author={Liu, Zihao and Wang, Tianhao and Huai, Mengdi and Miao, Chenglin},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={13},
  pages={14115--14123},
  year={2024}
}

@inproceedings{li2024privimage,
  title={{PrivImage}: Differentially Private Synthetic Image Generation
  using Diffusion Models with Semantic-Aware Pretraining},
  author={Li, Kecen and Gong, Chen and Li, Zhixiang and Zhao, Yuzhong and Hou, Xinwen and Wang, Tianhao},
  Booktitle = {{USENIX} Security},
  year={2024}
}

@inproceedings{xiang2024preserving,
  title={Preserving Node-level Privacy in Graph Neural Networks},
  author={Xiang, Zihang and Wang, Tianhao and Wang, Di},
  booktitle={2024 IEEE Symposium on Security and Privacy (SP)},
  year={2024},
  organization={IEEE Computer Society}
}

@inproceedings{gong2024baffle,
  title={{BAFFLE}: Hiding Backdoors in Offline Reinforcement Learning Datasets},
  author={Gong, Chen and Yang, Zhou and Bai, Yunpeng and Shi, Jieke and He, Junda and Li, Kecen and Xu, Bowen and Arunesh, Sinha and Hou, Xinwen and Lo, David and others},
  booktitle={2024 IEEE Symposium on Security and Privacy (SP)},
  year={2024},
  organization={IEEE Computer Society}
}

@article{liu2024edge,
  title={Edge-Protected Triangle Count Estimation under Relationship Local Differential Privacy},
  author={Liu, Yuhan and Wang, Tianhao and Liu, Yixuan and Chen, Hong and Li, Cuiping},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2024},
  publisher={IEEE}
}

@article{islam2023does,
  title={Does Differential Privacy Impact Bias in Pretrained Language Models?},
  author={Islam, Md Khairul and Wang, Andrew and Wang, Tianhao and Ji, Yangfeng and Fox, Judy and Zhao, Jieyu},
  journal={Data Engineering},
  pages={125},
  year={2023}
}

@article{lamp2023gluco,
  author       = {Josephine Lamp and Mark Derdzinski and Christopher Hannemann and Joost van der Linden and Lu Feng and Tianhao Wang and David Evans},
  title        = {{GlucoSynth}: Generating Differentially-Private Synthetic Glucose Traces},
  journal={Advances in neural information processing systems},
  year         = {2023},
}

@inproceedings{chen2023differentially,
  title={Differentially Private Resource Allocation},
  author={Chen, Joann Qiongna and Wang, Tianhao and Zhang, Zhikun and Zhang, Yang and Jha, Somesh and Li, Zhou},
  booktitle={Proceedings of the 39th Annual Computer Security Applications Conference},
  year={2023}
}

@inproceedings{tan2023mitigating,
  title={Mitigating Membership Inference Attacks via Weighted Smoothing},
  author={Tan, Mingtian and Xie, Xiaofei and Sun, Jun and Wang, Tianhao},
  booktitle={Proceedings of the 39th Annual Computer Security Applications Conference},
  year={2023}
}

@inproceedings{wei2023securely,
  title={Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy},
  author={Wei, Chengkun and Yu, Ruijing and Fan, Yuan and Chen, Wenzhi and Wang, Tianhao},
  booktitle={Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security},
  year={2023}
}

@inproceedings{du2023forward,
  title={{DP-Forward}: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass},
  author={Du, Minxin and Yue, Xiang and Chow, Sherman and Wang, Tianhao and Huang, Chenyu and Sun, Huan},
  booktitle={Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security},
  year={2023}
}

@inproceedings{zhang2023plot,
  title={A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots},
  author={Zhang, Boyang and He, Xinlei and Shen, Yun and Wang, Tianhao and Zhang, Yang},
  booktitle    = {{USENIX} Security},
  year={2023}
}

@inproceedings{wang2023privtrace,
  title={{PrivTrace}: Differentially Private Trajectory Synthesis by Adaptive Markov Model},
  author={Wang, Haiming and Zhang, Zhikun and Wang, Tianhao and He, Shibo and Backes, Michael and Chen, Jiming and Zhang, Yang},
  booktitle    = {{USENIX} Security},
  year={2023}
}

@inproceedings{chen2023face,
  title={FACE-AUDITOR: Data Auditing in Facial Recognition Systems},
  author       = {Min Chen and Zhikun Zhang and Tianhao Wang and Michael Backes and Yang Zhang},
  booktitle    = {{USENIX} Security},
  year         = {2023}
}

@article{xiang2023practical,
  title={Practical Differentially Private and Byzantine-resilient Federated Learning},
  author={Xiang, Zihang and Wang, Tianhao and Lin, Wanyu and Wang, Di},
  journal={Proceedings of the ACM on Management of Data},
  volume={1},
  number={2},
  pages={1--26},
  year={2023},
  publisher={ACM New York, NY, USA}
}

@article{li2023differentially,
  title={Differentially Private Vertical Federated Clustering},
  author={Li, Zitao and Wang, Tianhao and Li, Ninghui},
  journal={Proceedings of the VLDB Endowment},
  volume={16},
  number={6},
  pages={1277--1290},
  year={2023},
  publisher={VLDB Endowment}
}

@inproceedings{xiong2023exploring,
  title={Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models},
  author={Xiong, Aiping and Wu, Chuhao and Wang, Tianhao and Proctor, Robert W and Blocki, Jeremiah and Li, Ninghui and Jha, Somesh},
  booktitle={Proceedings of the Human Factors and Ergonomics Society Annual Meeting},
  volume={67},
  number={1},
  pages={226--232},
  year={2023},
  organization={SAGE Publications Sage CA: Los Angeles, CA}
}

@inproceedings{mireshghallah2022memorization,
  author       = {Fatemehsadat Mireshghallah and
                  Archit Uniyal and
                  Tianhao Wang and
                  David Evans and
                  Taylor Berg{-}Kirkpatrick},
  title        = {An Empirical Analysis of Memorization in Fine-tuned Autoregressive
                  Language Models},
  booktitle    = {Proceedings of the 2022 Conference on Empirical Methods in Natural
                  Language Processing},
  year         = {2022}
}

@inproceedings{wen2022adversarial,
  title={Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?},
  author={Wen, Rui and Zhao, Zhengyu and Liu, Zhuoran and Backes, Michael and Wang, Tianhao and Zhang, Yang},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2022}
}

@inproceedings{maddock2022federated,
  title={Federated boosted decision trees with differential privacy},
  author={Maddock, Samuel and Cormode, Graham and Wang, Tianhao and Maple, Carsten and Jha, Somesh},
  booktitle={Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security},
  pages={2249--2263},
  year={2022}
}

@inproceedings{chen2021graph,
  title={Graph Unlearning},
  author={Chen, Min and Zhang, Zhikun and Wang, Tianhao and Backes, Michael and Humbert, Mathias and Zhang, Yang},
  booktitle={Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security},
  year={2022}
}

@article{xiong2022drivers,
  title={Drivers and Passengers May be the Weakest Link in the CAV Data Privacy Defenses},
  author={Xiong, Aiping and Cai, Zekun and Wang, Tianhao},
  year={2022}
}

@inproceedings{zhou2022locally,
  title={Locally differentially private sparse vector aggregation},
  author={Zhou, Mingxun and Wang, Tianhao and Chan, TH Hubert and Fanti, Giulia and Shi, Elaine},
  booktitle={2022 IEEE Symposium on Security and Privacy (SP)},
  pages={422--439},
  year={2022},
  organization={IEEE}
}

@inproceedings{wu2021communicating,
  title={Communicating Differential Privacy Models by Illustrations: A Survey and In-Depth Interview Study},
  author={Wu, Chuhao and Wang, Tianhao and Proctor, Robert W and Li, Ninghui and Blocki, Jeremiah and Xiong, Aiping},
  booktitle={Proceedings of the Human Factors and Ergonomics Society Annual Meeting},
  volume={65},
  number={1},
  pages={1494--1494},
  year={2021},
  organization={SAGE Publications Sage CA: Los Angeles, CA}
}

@inproceedings{li2021mgd,
  title={MGD: A Utility Metric for Private Data Publication},
  author={Li, Zitao and Dang, Trung and Wang, Tianhao and Li, Ninghui},
  booktitle={8th International Conference on Networking, Systems and Security},
  pages={106--119},
  year={2021}
}

@phdthesis{wang2021analyzing,
  title={Analyzing Sensitive Data with Local Differential Privacy},
  author={Wang, Tianhao},
  year={2021},
  school={Purdue University Graduate School}
}

@article{cicala2021pure,
  title={Pure: A framework for analyzing proximity-based contact tracing protocols},
  author={Cicala, Fabrizio and Wang, Weicheng and Wang, Tianhao and Li, Ninghui and Bertino, Elisa and Liang, Faming and Yang, Yang},
  journal={ACM Computing Surveys (CSUR)},
  volume={55},
  number={1},
  pages={1--36},
  year={2021},
  publisher={ACM New York, NY}
}

@article{wang2021dpsyn,
  title={DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges},
  author={Wang, Tianhao and Li, Ninghui and Zhang, Zhikun},
  journal={Journal of Privacy and Confidentiality},
  volume={11},
  number={2},
  year={2021}
}

@inproceedings{yue2021differential,
  title={Differential Privacy for Text Analytics via Natural Text Sanitization},
  author={Yue, Xiang and Du, Minxin and Wang, Tianhao and Li, Yaliang and Sun, Huan and Chow, Sherman SM},
  booktitle = {Findings, {ACL-IJCNLP} 2021},
  year={2021}
}

@inproceedings{wang2021continuous,
  title={Continuous release of data streams under both centralized and local differential privacy},
  author={Wang, Tianhao and Chen, Joann Qiongna and Zhang, Zhikun and Su, Dong and Cheng, Yueqiang and Li, Zhou and Li, Ninghui and Jha, Somesh},
  booktitle={Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security},
  pages={1237--1253},
  year={2021}
}

@inproceedings{chen2021machine,
  title={When machine unlearning jeopardizes privacy},
  author={Chen, Min and Zhang, Zhikun and Wang, Tianhao and Backes, Michael and Humbert, Mathias and Zhang, Yang},
  booktitle={Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security},
  pages={896--911},
  year={2021}
}

@inproceedings{zhang2021privsyn,
  title={{PrivSyn}: Differentially private data synthesis},
  author={Zhang, Zhikun and Wang, Tianhao and Li, Ninghui and Honorio, Jean and Backes, Michael and He, Shibo and Chen, Jiming and Zhang, Yang},
  Booktitle = {{USENIX} Security},
  year={2021}
}

@misc{url:nistchallenge2020,
 author = {NIST},
 title = {2020 Differential Privacy Temporal Map Challenge},
 howpublished = {Available at \url{https://www.nist.gov/ctl/pscr/open-innovation-prize-challenges/current-and-upcoming-prize-challenges/2020-differential}},
 year={2021}
}

@article{yang2020answering,
  title={Answering multi-dimensional range queries under local differential privacy},
  author={Yang, Jianyu and Wang, Tianhao and Li, Ninghui and Cheng, Xiang and Su, Sen},
  journal={Proceedings of the VLDB Endowment},
  volume={14},
  number={3},
  pages={378--390},
  year={2020},
  publisher={VLDB Endowment}
}

@article{wang2019practical,
  title={Improving Utility and Security of the Shuffler-based Differential Privacy},
  author={Wang, Tianhao and Ding, Bolin and Xu, Min and Huang, Zhicong and Hong, Cheng and Zhou, Jingren and Li, Ninghui and Jha, Somesh},
  journal={Proceedings of the VLDB Endowment},
  volume={13},
  number={13},
  pages={3545 - 3558},
  year={2020},
}

@article{xu2020collecting,
  title={Collecting and analyzing data jointly from multiple services under local differential privacy},
  author={Xu, Min and Ding, Bolin and Wang, Tianhao and Zhou, Jingren},
  journal={Proceedings of the VLDB Endowment},
  volume={13},
  number={12},
  pages={2760--2772},
  year={2020},
  publisher={VLDB Endowment}
}

@inproceedings{xiong2020towards,
  title={Towards effective differential privacy communication for users’ data sharing decision and comprehension},
  author={Xiong, Aiping and Wang, Tianhao and Li, Ninghui and Jha, Somesh},
  booktitle={2020 IEEE Symposium on Security and Privacy (SP)},
  pages={392--410},
  year={2020},
  organization={IEEE}
}

@inproceedings{li2020estimating,
  title={Estimating numerical distributions under local differential privacy},
  author={Li, Zitao and Wang, Tianhao and Lopuha{\"a}-Zwakenberg, Milan and Li, Ninghui and {\v{S}}koric, Boris},
  booktitle={Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
  pages={621--635},
  year={2020}
}

@inproceedings{wang2020consistent,
  title={Consistent and accurate frequency oracles under local differential privacy},
  author={Wang, Tianhao and Li, Zitao and Li, Ninghui and Lopuha{\"a}-Zwakenberg, Milan and Skoric, Boris},
  booktitle={NDSS},
  year={2020}
}

@misc{url:ldp_protocols,
 author = {Wang, Tianhao},
 title = {A List of LDP Protocols},
 howpublished = {Available at \url{https://github.com/vvv214/LDP_Protocols}},
 year={2020}
}

@misc{url:dpsyn_code2,
 author = {Li, Ninghui and Li, Zitao and Chen, Anqi and Wang, Tianhao},
 title = {Open Source Code for NIST Challenge},
 howpublished = {Available at \url{https://github.com/agl-c/deid2_dpsyn}},
 year={2020}
}

@article{wang2019locally,
	Author = {Wang, Tianhao and Li, Ninghui and Jha, Somesh},
	Journal = {IEEE Transactions on Dependable and Secure Computing},
	Publisher = {IEEE},
	Title = {Locally differentially private heavy hitter identification},
	Year = {2019}}
	

@inproceedings{wang2019answering,
  title={Answering multi-dimensional analytical queries under local differential privacy},
  author={Wang, Tianhao and Ding, Bolin and Zhou, Jingren and Hong, Cheng and Huang, Zhicong and Li, Ninghui and Jha, Somesh},
  booktitle={Proceedings of the 2019 International Conference on Management of Data},
  pages={159--176},
  year={2019}
}

@inproceedings{ge2019koinonia,
  title={Koinonia: verifiable e-voting with long-term privacy},
  author={Ge, Huangyi and Chau, Sze Yiu and Gonsalves, Victor E and Li, Huian and Wang, Tianhao and Zou, Xukai and Li, Ninghui},
  booktitle={Proceedings of the 35th Annual Computer Security Applications Conference},
  pages={270--285},
  year={2019}
}

@misc{url:nistchallenge2018,
 author = {NIST},
 title = {2018 Differential Privacy Synthetic Data Challenge},
 howpublished = {Available at \url{https://www.nist.gov/ctl/pscr/open-innovation-prize-challenges/past-prize-challenges/2018-differential-privacy-synthetic}},
 year={2019}
}

@inproceedings{zhang2018calm,
  title={{CALM}: Consistent adaptive local marginal for marginal release under local differential privacy},
  author={Zhang, Zhikun and Wang, Tianhao and Li, Ninghui and He, Shibo and Chen, Jiming},
  booktitle={Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security},
  pages={212--229},
  year={2018}
}

@inproceedings{cormode2018privacy,
  title={Privacy at scale: Local differential privacy in practice},
  author={Cormode, Graham and Jha, Somesh and Kulkarni, Tejas and Li, Ninghui and Srivastava, Divesh and Wang, Tianhao},
  booktitle={Proceedings of the 2018 International Conference on Management of Data},
  pages={1655--1658},
  year={2018}
}

@inproceedings{wang2018locally,
  title={Locally differentially private frequent itemset mining},
  author={Wang, Tianhao and Li, Ninghui and Jha, Somesh},
  booktitle={2018 IEEE Symposium on Security and Privacy (SP)},
  pages={127--143},
  year={2018},
  organization={IEEE}
}

@misc{url:dpsyn_code,
 author = {Li, Ninghui and Zhang, Zhikun and Wang, Tianhao},
 title = {Open Source Code for NIST Challenge},
 howpublished = {Available at \url{https://github.com/usnistgov/PrivacyEngCollabSpace/tree/master/tools/de-identification/Differential-Privacy-Synthetic-Data-Challenge-Algorithms/DPSyn}},
 year={2018}
}

@misc{url:nistchallenge_concept,
 author = {NIST},
 title = {The Unlinkable Data Challenge},
 howpublished = {Available at \url{https://www.nist.gov/ctl/pscr/funding-opportunities/prizes-challenges/2018-unlinkable-data-challenge}},
 year={2018}
}

@inproceedings{wang2017locally,
	Author = {Wang, Tianhao and Blocki, Jeremiah and Li, Ninghui and Jha, Somesh},
	Booktitle = {{USENIX} Security},
	Pages = {729--745},
	Title = {Locally differentially private protocols for frequency estimation},
	Year = {2017}
}

@inproceedings{wang2016security,
  title={On the security and usability of segment-based visual cryptographic authentication protocols},
  author={Wang, Tianhao and Ge, Huangyi and Chowdhury, Omar and Maji, Hemanta K and Li, Ninghui},
  booktitle={Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security},
  pages={603--615},
  year={2016}
}
	

@inproceedings{wang2016secure,
  title={Secure dynamic SSE via access indistinguishable storage},
  author={Wang, Tianhao and Zhao, Yunlei},
  booktitle={Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security},
  pages={535--546},
  year={2016}
}

@article{wang2015simple,
  title={A simple algorithm for finding all k-edge-connected components},
  author={Wang, Tianhao and Zhang, Yong and Chin, Francis YL and Ting, Hing-Fung and Tsin, Yung H and Poon, Sheung-Hung},
  journal={Plos one},
  year={2015}
}

@inproceedings{barba2014weight,
  title={Weight balancing on boundaries and skeletons},
  author={Barba, Luis and Cheong, Otfried and De Carufel, Jean-Lou and Dobbins, Michael Gene and Fleischer, Rudolf and Kawamura, Akitoshi and Korman, Matias and Okamoto, Yoshio and Pach, J{\'a}nos and Tang, Yuan and Verdonschot, Sander and Wang, Tianhao},
  booktitle={Proceedings of the thirtieth annual symposium on Computational geometry},
  pages={436--443},
  year={2014}
}