Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Authors: Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida | Published: 2023-10-20 | Updated: 2024-06-11
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Authors: Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli | Published: 2023-10-20
Critical Path Prioritization Dashboard for Alert-driven Attack Graphs
Authors: Sònia Leal Díaz, Sergio Pastrana, Azqa Nadeem | Published: 2023-10-19
Network-Aware AutoML Framework for Software-Defined Sensor Networks
Authors: Emre Horsanali, Yagmur Yigit, Gokhan Secinti, Aytac Karameseoglu, Berk Canberk | Published: 2023-10-19 | Updated: 2023-10-25
Blind quantum machine learning with quantum bipartite correlator
Authors: Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia | Published: 2023-10-19
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Authors: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang | Published: 2023-10-19
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers
Authors: Illia Horenko | Published: 2023-10-19 | Updated: 2023-11-15
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Authors: Imdad Ullah, Najm Hassan, Sukhpal Singh Gill, Basem Suleiman, Tariq Ahamed Ahanger, Zawar Shah, Junaid Qadir, Salil S. Kanhere | Published: 2023-10-19
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Authors: Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He | Published: 2023-10-19
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Authors: Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar | Published: 2023-10-18 | Updated: 2024-04-08