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

Towards Independence Criterion in Machine Unlearning of Features and Labels

Authors: Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley | Published: 2024-03-12

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Authors: Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma | Published: 2024-03-12 | Updated: 2024-09-14

Duwak: Dual Watermarks in Large Language Models

Authors: Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen | Published: 2024-03-12 | Updated: 2024-08-08

Visual Privacy Auditing with Diffusion Models

Authors: Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller | Published: 2024-03-12

WannaLaugh: A Configurable Ransomware Emulator — Learning to Mimic Malicious Storage Traces

Authors: Dionysios Diamantopoulos, Roman Pletka, Slavisa Sarafijanovic, A. L. Narasimha Reddy, Haris Pozidis | Published: 2024-03-12 | Updated: 2024-06-12

A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism

Authors: Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu | Published: 2024-03-12

Don’t Forget What I did?: Assessing Client Contributions in Federated Learning

Authors: Bishwamittra Ghosh, Debabrota Basu, Fu Huazhu, Wang Yuan, Renuga Kanagavelu, Jiang Jin Peng, Liu Yong, Goh Siow Mong Rick, Wei Qingsong | Published: 2024-03-11

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts

Authors: Lyuye Zhang, Kaixuan Li, Kairan Sun, Daoyuan Wu, Ye Liu, Haoye Tian, Yang Liu | Published: 2024-03-11 | Updated: 2024-03-18

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code

Authors: Cristina Improta | Published: 2024-03-11