Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
Authors: Qilei Li, Ahmed M. Abdelmoniem | Published: 2024-08-05 | Updated: 2024-08-16
Defense Method
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
Authors: Kuo Gai, Sicong Wang, Shihua Zhang | Published: 2024-08-01
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness
Authors: Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons | Published: 2024-07-16
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Authors: Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr | Published: 2024-06-12
A Study of Backdoors in Instruction Fine-tuned Language Models
Authors: Jayaram Raghuram, George Kesidis, David J. Miller | Published: 2024-06-12 | Updated: 2024-08-21
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens
Authors: Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou | Published: 2024-06-06
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
Authors: Frank Weizhen Liu, Chenhui Hu | Published: 2024-06-01
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Authors: Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran | Published: 2024-05-31 | Updated: 2024-06-05
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
Authors: Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos Papalexakis, Aichi Chien, Yue Dong | Published: 2024-05-24
A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure
Authors: Wei Sun, Bo Gao, Ke Xiong, Yuwei Wang | Published: 2024-05-19 | Updated: 2024-05-21