$Towards Defending Multiple $\ell_p$-norm Bounded Adversarial Perturbations via Gated Batch Normalization$

Towards Defending Multiple $\ell_p$ -norm Bounded Adversarial Perturbations via Gated Batch Normalization

3 December 2020

Xianglong Liu

Papers citing "Towards Defending Multiple $\ell_p$-norm Bounded Adversarial Perturbations via Gated Batch Normalization"

7 / 7 papers shown

Title
$GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing$ GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing Yisong Xiao Aishan Liu QianJia Cheng Zhenfei Yin Siyuan Liang Jiapeng Li Jing Shao Xianglong Liu Dacheng Tao 24 4 0 30 Jun 2024
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis Jiancong Xiao Zeyu Qin Yanbo Fan Baoyuan Wu Jue Wang Zhimin Luo AAML 20 7 0 02 Oct 2022
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 133 191 0 01 Mar 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 74 60 0 05 Sep 2020
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 72 186 0 30 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016