SABLE: Secure And Byzantine robust LEarning
Authors: Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber | Published: 2023-09-11 | Updated: 2023-12-14
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FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
Authors: Dongyu Yao, Jianshu Zhang, Ian G. Harris, Marcel Carlsson | Published: 2023-09-11 | Updated: 2024-04-14
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis
Authors: Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang | Published: 2023-09-11
Outlier Robust Adversarial Training
Authors: Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu | Published: 2023-09-10
DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Classification of Spam URLs Using Machine Learning Approaches
Authors: Omar Husni Odeh, Anas Arram, Murad Njoum | Published: 2023-09-10 | Updated: 2023-12-03
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning
Authors: Lijing Zhou, Qingrui Song, Su Zhang, Ziyu Wang, Xianggui Wang, Yong Li | Published: 2023-09-10 | Updated: 2024-03-06
Compact: Approximating Complex Activation Functions for Secure Computation
Authors: Mazharul Islam, Sunpreet S. Arora, Rahul Chatterjee, Peter Rindal, Maliheh Shirvanian | Published: 2023-09-09 | Updated: 2024-03-17
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
Authors: Jeremiah Birrell, Mohammadreza Ebrahimi | Published: 2023-09-07
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Authors: Jacopo Talpini, Fabio Sartori, Marco Savi | Published: 2023-09-05 | Updated: 2024-04-09