Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
Authors: Na Li, Chunyi Zhou, Yansong Gao, Hui Chen, Anmin Fu, Zhi Zhang, Yu Shui | Published: 2024-03-13
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Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
Authors: Cristina Improta | Published: 2024-03-11
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Authors: Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr | Published: 2024-03-10
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
Authors: Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng | Published: 2024-03-08 | Updated: 2024-03-14
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees
Authors: Ehsan Nowroozi, Nada Jadalla, Samaneh Ghelichkhani, Alireza Jolfaei | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
Teach LLMs to Phish: Stealing Private Information from Language Models
Authors: Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal | Published: 2024-03-01
Learning to Poison Large Language Models for Downstream Manipulation
Authors: Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Mohammad Amin Roshani, Prashant Khanduri, Douglas Zytko, Dongxiao Zhu | Published: 2024-02-21 | Updated: 2025-05-29
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
Authors: Yiwei Lu, Matthew Y. R. Yang, Gautam Kamath, Yaoliang Yu | Published: 2024-02-20
Test-Time Backdoor Attacks on Multimodal Large Language Models
Authors: Dong Lu, Tianyu Pang, Chao Du, Qian Liu, Xianjun Yang, Min Lin | Published: 2024-02-13