Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration
Authors: Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard | Published: 2023-12-21 | Updated: 2024-06-10
Watermark Evaluation
Rethinking Robustness of Model Attributions
Authors: Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian | Published: 2023-12-16
Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models
Authors: Jiawei Zhao, Kejiang Chen, Xiaojian Yuan, Yuang Qi, Weiming Zhang, Nenghai Yu | Published: 2023-12-15 | Updated: 2024-10-10
Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking
Authors: Linda Albanese, Andrea Alessandrelli, Alessia Annibale, Adriano Barra | Published: 2023-12-15
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
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