Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by
Model Quantization

Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization

10 May 2023

Nannan Wang

Chao Shen

Papers citing "Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization"

8 / 8 papers shown

Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 122 0 0 20 Apr 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Muhammad Shafique AAML 74 0 0 22 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 48 1 0 05 Nov 2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving Junhao Zheng Chenhao Lin Jiahao Sun Zhengyu Zhao Qian Li Chao Shen 24 18 0 26 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 59 1 0 27 Feb 2024
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 29 16 0 07 Mar 2023
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016