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 2023.10.19 2025.05.28 Literature Database
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 2023.10.19 2025.05.28 Literature Database
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 2023.10.19 2025.05.28 Literature Database
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers Authors: Illia Horenko | Published: 2023-10-19 | Updated: 2023-11-15 2023.10.19 2025.05.28 Literature Database
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 2023.10.19 2025.05.28 Literature Database
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 2023.10.19 2025.05.28 Literature Database
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 2023.10.18 2025.05.28 Literature Database
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? Authors: Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun | Published: 2023-10-18 | Updated: 2024-03-05 2023.10.18 2025.05.28 Literature Database
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses Authors: Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira | Published: 2023-10-18 2023.10.18 2025.05.28 Literature Database
A General Theoretical Paradigm to Understand Learning from Human Preferences Authors: Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, Daniel Guo, Daniele Calandriello, Michal Valko, Rémi Munos | Published: 2023-10-18 | Updated: 2023-11-22 2023.10.18 2025.05.28 Literature Database