AIJack: Let’s Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Authors: Hideaki Takahashi | Published: 2023-12-29 | Updated: 2024-04-08
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Authors: Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu | Published: 2023-12-29 | Updated: 2024-06-02
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
Anticipated Network Surveillance — An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
Authors: Aviral Srivastava, Dhyan Thakkar, Sharda Valiveti, Pooja Shah, Gaurang Raval | Published: 2023-12-27
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
Authors: Dongfang Zhao | Published: 2023-12-26
Robust Survival Analysis with Adversarial Regularization
Authors: Michael Potter, Stefano Maxenti, Michael Everett | Published: 2023-12-26 | Updated: 2024-09-19
Reinforcement Unlearning
Authors: Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue | Published: 2023-12-26 | Updated: 2024-09-09