Exploring Adversarial Transferability And Beyond
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- Authors: Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai Description: The widespread ...
- An Adaptive Model Ensemble
- Authors: Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash Description:
- [ICCV 2025] Boosting Adversarial Transferability via Residual Perturbation Attack
- This talk will introduce
In-Depth Information on Adversarial Transferability And Beyond
Deep Neural Networks have achieved great success in various vision tasks in recent years. However, they remain vulnerable to ... Authors: Waseda, Futa Kai*; Nishikawa, Sosuke; Le, Trung-Nghia; Nguyen, Huy Hong; Echizen, Isao Description: Deep neural ... This document explores SESSION 13B-4 Enhance Stealthiness and
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
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