Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Authors: Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael Abu-Ghazaleh | Published: 2023-10-16
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BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Authors: Wenjie Lv, Zhen Wang, Yitao Zheng, Zhehua Zhong, Qi Xuan, Tianyi Chen | Published: 2023-10-14
Misusing Tools in Large Language Models With Visual Adversarial Examples
Authors: Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes | Published: 2023-10-04
DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Authors: Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin | Published: 2023-08-24
Sample Complexity of Robust Learning against Evasion Attacks
Authors: Pascale Gourdeau | Published: 2023-08-23
A Comparison of Adversarial Learning Techniques for Malware Detection
Authors: Pavla Louthánová, Matouš Kozák, Martin Jureček, Mark Stamp | Published: 2023-08-19
Data-Free Model Extraction Attacks in the Context of Object Detection
Authors: Harshit Shah, Aravindhan G, Pavan Kulkarni, Yuvaraj Govidarajulu, Manojkumar Parmar | Published: 2023-08-09
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Authors: Shashank Kotyan | Published: 2023-08-07
URET: Universal Robustness Evaluation Toolkit (for Evasion)
Authors: Kevin Eykholt, Taesung Lee, Douglas Schales, Jiyong Jang, Ian Molloy, Masha Zorin | Published: 2023-08-03