Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract). Koren, A., Underwood, C., Serra, E., & Spezzano, F. In 11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024, pages 1–2, 2024.
Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract) [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/dsaa/KorenUSS24,
  author       = {Annat Koren and
                  Chandler Underwood and
                  Edoardo Serra and
                  Francesca Spezzano},
  title        = {Evaluating the Robustness of Fake News Detectors to Adversarial Attacks
                  with Real User Comments (Extended Abstract)},
  booktitle    = {11th {IEEE} International Conference on Data Science and Advanced
                  Analytics, {DSAA} 2024, San Diego, CA, USA, October 6-10, 2024},
  pages        = {1--2},
  year         = {2024},
  crossref     = {DBLP:conf/dsaa/2024},
  url          = {https://doi.org/10.1109/DSAA61799.2024.10722837},
  doi          = {10.1109/DSAA61799.2024.10722837},
  timestamp    = {Wed, 06 Nov 2024 16:49:54 +0100},
  biburl       = {https://dblp.org/rec/conf/dsaa/KorenUSS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0