Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
Authors: Tianxiu Xie, Keke Gai, Jing Yu, Liehuang Zhu | Published: 2024-01-11
Watermark Evaluation
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Authors: Rachel Redberg, Antti Koskela, Yu-Xiang Wang | Published: 2023-12-31
Can you See me? On the Visibility of NOPs against Android Malware Detectors
Authors: Diego Soi, Davide Maiorca, Giorgio Giacinto, Harel Berger | Published: 2023-12-28
Optimizing watermarks for large language models
Authors: Bram Wouters | Published: 2023-12-28
Attack Tree Analysis for Adversarial Evasion Attacks
Authors: Yuki Yamaguchi, Toshiaki Aoki | Published: 2023-12-28
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
Authors: Hyunjune Kim, Sangyong Lee, Simon S. Woo | Published: 2023-12-28
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
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