Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Authors: Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni | Published: 2023-08-08
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Authors: Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju | Published: 2023-08-08
Breaking Speaker Recognition with PaddingBack
Authors: Zhe Ye, Diqun Yan, Li Dong, Kailai Shen | Published: 2023-08-08 | Updated: 2024-03-11
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Authors: Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan | Published: 2023-08-08 | Updated: 2024-04-15
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
Authors: Yixiang Yao, Weizhao Jin, Srivatsan Ravi | Published: 2023-08-07
“Do Anything Now”: Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Authors: Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-08-07 | Updated: 2024-05-15
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Authors: Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux | Published: 2023-08-07
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing
Authors: Wai Man Si, Michael Backes, Yang Zhang | Published: 2023-08-07
PURL: Safe and Effective Sanitization of Link Decoration
Authors: Shaoor Munir, Patrick Lee, Umar Iqbal, Zubair Shafiq, Sandra Siby | Published: 2023-08-07 | Updated: 2024-03-06
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Authors: Shashank Kotyan | Published: 2023-08-07