Data-Free Hard-Label Robustness Stealing Attack
Authors: Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu | Published: 2023-12-10 | Updated: 2023-12-12
Watermark Evaluation
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann | Published: 2023-12-05 | Updated: 2024-01-15
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Authors: Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi | Published: 2023-12-04 | Updated: 2024-10-31
FRAUDability: Estimating Users’ Susceptibility to Financial Fraud Using Adversarial Machine Learning
Authors: Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai | Published: 2023-12-02
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
Authors: Sangamesh Kodge, Gobinda Saha, Kaushik Roy | Published: 2023-12-01 | Updated: 2024-08-05
Mark My Words: Analyzing and Evaluating Language Model Watermarks
Authors: Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David Wagner | Published: 2023-12-01 | Updated: 2024-10-11
Continuous Authentication Using Mouse Clickstream Data Analysis
Authors: Sultan Almalki, Prosenjit Chatterjee, Kaushik Roy | Published: 2023-11-23
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Authors: Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu | Published: 2023-07-20
What can we learn from Data Leakage and Unlearning for Law?
Authors: Jaydeep Borkar | Published: 2023-07-19
Eliminating Label Leakage in Tree-Based Vertical Federated Learning
Authors: Hideaki Takahashi, Jingjing Liu, Yang Liu | Published: 2023-07-19 | Updated: 2023-10-22