Feature Denoising for Improving Adversarial Robustness

9 December 2018

Cihang Xie

Yuxin Wu

L. V. D. van der Maaten

Alan Yuille

Kaiming He

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Papers citing "Feature Denoising for Improving Adversarial Robustness"

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Title
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness Guanlin Li Naishan Zheng Man Zhou Jie Zhang Tianwei Zhang AAML 26 0 0 04 Dec 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting Romain Ilbert Thai V. Hoang Zonghua Zhang Themis Palpanas OOD AAML 37 0 0 16 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification Jiacheng Wei Guosheng Lin Henghui Ding Jie Hu Kim-Hui Yap 3DPC 26 0 0 10 Nov 2023
Adversarial Examples in the Physical World: A Survey Jiakai Wang Xianglong Liu Jin Hu Donghua Wang Siyang Wu Tingsong Jiang Wenbiao Yao Aishan Liu Aishan Liu Jiantao Zhou AAML 43 4 0 01 Nov 2023
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications Xintian Ren Jun Wu Hansong Xu Qianqian Pan DiffM 14 2 0 30 Oct 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 19 19 0 27 Oct 2023
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images Logan Frank Jim Davis 33 1 0 20 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 30 1 0 09 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 30 7 0 07 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 40 4 0 03 Oct 2023
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint Enhancement Ekta Gavas A. Namboodiri CVBM 26 2 0 01 Oct 2023
Extreme Image Transformations Facilitate Robust Latent Object Representations Girik Malik Dakarai Crowder E. Mingolla AAML 26 0 0 19 Sep 2023
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples Shakila Mahjabin Tonni Mark Dras TDI AAML GAN 29 0 0 19 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 34 4 0 09 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 35 0 0 03 Sep 2023
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers Xijun Wang Xiaojie Chu Chunrui Han Xiangyu Zhang ViT 23 1 0 14 Aug 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Zhu Liu Jinyuan Liu Ben-xi Zhang Long Ma Xin-Yue Fan Risheng Liu AAML 44 39 0 08 Aug 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 19 9 0 30 Jun 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features Mingli Zhu Shaokui Wei H. Zha Baoyuan Wu AAML 32 37 0 29 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 26 0 0 13 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik M. Keuper OOD AAML 46 19 0 11 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 21 4 0 02 Jun 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 19 1 0 23 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 50 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 23 1 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 16 1 0 16 May 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 32 10 0 09 May 2023
Toward Adversarial Training on Contextualized Language Representation Hongqiu Wu Yong Liu Han Shi Haizhen Zhao Hao Fei AAML 23 13 0 08 May 2023
Instance Segmentation in the Dark Linwei Chen Ying Fu Kaixuan Wei Dezhi Zheng Felix Heide ISeg 59 47 0 27 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 46 18 0 20 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 37 8 0 17 Apr 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 36 2 0 17 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 29 275 0 14 Apr 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 19 3 0 29 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 22 4 0 27 Mar 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 50 49 0 25 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 41 18 0 24 Mar 2023
Semantic Scene Completion with Cleaner Self Fengyun Wang Dong Zhang Hanwang Zhang Jinhui Tang Qianru Sun 31 12 0 17 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 19 2 0 10 Mar 2023
Temporal Coherent Test-Time Optimization for Robust Video Classification Chenyu Yi Siyuan Yang Yufei Wang Haoliang Li Yap-Peng Tan Alex C. Kot TTA 27 12 0 28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 74 0 28 Feb 2023
HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal Pranit Chawla Mithun Das Punyajoy Saha Binny Mathew Torsten Zesch Animesh Mukherjee AAML 37 8 0 11 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 37 21 0 04 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 37 3 0 30 Jan 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 37 9 0 29 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Li Rahul Duggal Duen Horng Chau Jason Martin AAML 26 5 0 08 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 44 2 0 03 Jan 2023