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
敵対的サンプル
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
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Authors: Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu | Published: 2023-08-02 | Updated: 2023-08-03
Adversarial training for tabular data with attack propagation
Authors: Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro | Published: 2023-07-28