A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Authors: Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu | Published: 2024-06-10
バックドア攻撃
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Authors: Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis | Published: 2024-06-09 | Updated: 2024-09-07
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
Authors: Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian | Published: 2024-06-05
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Authors: Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello | Published: 2024-06-03
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
Authors: Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch, Gregory Pottie | Published: 2024-05-28 | Updated: 2024-06-02
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
Authors: Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu | Published: 2024-05-27 | Updated: 2024-10-05
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
Authors: Chi-Hua Wang, Guang Cheng | 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
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
Authors: Yujie Zhang, Neil Gong, Michael K. Reiter | Published: 2024-05-10 | Updated: 2024-09-09
Unlearning Backdoor Attacks through Gradient-Based Model Pruning
Authors: Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak | Published: 2024-05-07