Deceptive Fairness Attacks on Graphs via Meta Learning
Authors: Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong | Published: 2023-10-24
Attack Method
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models
Authors: Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun | Published: 2023-10-23 | Updated: 2023-12-14
A Comprehensive Study of Privacy Risks in Curriculum Learning
Authors: Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li | Published: 2023-10-16
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Authors: Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen | Published: 2023-08-26 | Updated: 2023-10-14
Why Don’t You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations
Authors: Yi Han, Matthew Chan, Eric Wengrowski, Zhuohuan Li, Nils Ole Tippenhauer, Mani Srivastava, Saman Zonouz, Luis Garcia | Published: 2023-07-24 | Updated: 2023-07-27
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
Authors: David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan | Published: 2023-07-20
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats
Authors: Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu | Published: 2023-06-13 | Updated: 2023-06-14
Zero-Day Threats Detection for Critical Infrastructures
Authors: Mike Nkongolo, Mahmut Tokmak | Published: 2023-06-10
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Authors: Ezgi Korkmaz, Jonah Brown-Cohen | Published: 2023-06-09
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Authors: Hubert Baniecki, Przemyslaw Biecek | Published: 2023-06-06 | Updated: 2024-02-13