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
Opening A Pandora’s Box: Things You Should Know in the Era of Custom GPTs
Authors: Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Xiangyu Zhang | Published: 2023-12-31
Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence
Authors: Siva Raja Sindiramutty | Published: 2023-12-30
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
Authors: Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David Wagner | Published: 2023-12-29 | Updated: 2024-01-08
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