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
Poisoning
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
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Authors: Hangsheng Zhang, Dongqi Han, Yinlong Liu, Zhiliang Wang, Jiyan Sun, Shangyuan Zhuang, Jiqiang Liu, Jinsong Dong | Published: 2024-01-19
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
Authors: Chen Wu, Xi Li, Jiaqi Wang | Published: 2024-01-18 | Updated: 2024-04-02
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Authors: Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam | Published: 2024-01-16 | Updated: 2024-01-19