Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Authors: Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu | Published: 2024-03-02
Poisoning
Transfer Learning for Security: Challenges and Future Directions
Authors: Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino | Published: 2024-03-01
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Authors: Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu | Published: 2024-02-20
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Authors: Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos, Antonio Skarmeta | Published: 2024-02-15
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Authors: Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia | Published: 2024-02-12 | Updated: 2024-08-13
FedMIA: An Effective Membership Inference Attack Exploiting “All for One” Principle in Federated Learning
Authors: Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han | Published: 2024-02-09 | Updated: 2025-03-27
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Authors: Yihan Wang, Yifan Zhu, Xiao-Shan Gao | Published: 2024-02-06
Data Poisoning for In-context Learning
Authors: Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang | Published: 2024-02-03 | Updated: 2025-06-02
Game-Theoretic Unlearnable Example Generator
Authors: Shuang Liu, Yihan Wang, Xiao-Shan Gao | Published: 2024-01-31
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Authors: Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng | Published: 2024-01-26