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
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs Mohammed Elnawawy Gargi Mitra Shahrear Iqbal Karthik Pattabiraman AAML 28 0 0 10 May 2025
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations Ahod Alghuried Ali Alkinoon Abdulaziz Alghamdi Soohyeon Choi Manar Mohaisen David A. Mohaisen AAML 32 0 0 24 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models Jiahuan Long Zhengqin Xu Tingsong Jiang Wen Yao Shuai Jia Chao Ma Xiaoqian Chen AAML VLM 39 1 0 11 Apr 2025
On Transfer-based Universal Attacks in Pure Black-box Setting M. Jalwana Naveed Akhtar Ajmal Mian Nazanin Rahnavard Mubarak Shah AAML 31 0 0 11 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 60 0 0 02 Apr 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 215 0 0 09 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 52 0 0 07 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 50 0 0 02 Mar 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 66 0 0 08 Feb 2025
Enhancing Adversarial Transferability via Component-Wise Transformation Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang Donglin Wang AAML 52 0 0 21 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training Hongxin Zhi Hongtao Yu Shaome Li Xiuming Zhao Yiteng Wu OOD 33 0 0 08 Jan 2025
Adversarial Attacks on Hyperbolic Networks Max van Spengler Jan Zahálka Pascal Mettes AAML OOD 96 0 0 02 Dec 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 44 1 0 29 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 36 0 0 19 Oct 2024
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech Karla Pizzi Matías Pizarro Asja Fischer 35 0 0 03 Sep 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training Bongsoo Yi Rongjie Lai Yao Li AAML 40 0 0 27 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples Zhenyu Wang John H. L. Hansen AAML 38 1 0 23 Aug 2024
First line of defense: A robust first layer mitigates adversarial attacks Janani Suresh Nancy Nayak Sheetal Kalyani AAML 32 0 0 21 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 39 2 0 20 Aug 2024
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis Ahod Alghureid David Mohaisen AAML 41 2 0 06 Aug 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition Mohammad Saeed Ebrahimi Saadabadi Sahar Rahimi Malakshan Ali Dabouei Nasser M. Nasrabadi CVBM AAML 43 4 0 20 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection Youheng Sun Shengming Yuan Xuanhan Wang Lianli Gao Jingkuan Song AAML 29 2 0 17 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 48 0 0 11 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 67 0 0 04 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising Shuqing Luo Bowen Qu Wei-Nan Gao 51 1 0 01 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks Min Ren Yunlong Wang Yuhao Zhu Yongzhen Huang Zhenan Sun Qi Li Tieniu Tan 43 2 0 26 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 41 0 0 20 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization Jia-Li Yin Haoyuan Zheng Ximeng Liu AAML 39 0 0 19 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 49 1 0 17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 51 1 0 16 Jun 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 44 6 0 28 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling Chunlin Qiu Yiheng Duan Lingchen Zhao Qian Wang AAML 40 2 0 25 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 39 15 0 23 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 27 1 0 22 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 26 1 0 09 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 33 1 0 30 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 30 4 0 18 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 43 1 0 12 Apr 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 40 5 0 20 Mar 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos V. Cevher AAML OOD 35 3 0 19 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 37 10 0 23 Feb 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 34 15 0 09 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 14 1 0 05 Jan 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 26 5 0 21 Dec 2023
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks Bingyin Zhao Yingjie Lao AAML 38 1 0 17 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 35 0 0 12 Dec 2023