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
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 14 2 0 10 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 22 44 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones Ke Cheng Christopher Healey Tianfu Wu AAML OOD 18 2 0 31 Jul 2021
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework Li Ding Yongwei Wang Xin Ding Kaiwen Yuan Ping Wang Hua Huang Z. J. Wang AAML 26 7 0 31 Jul 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 25 26 0 29 Jul 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification Qiufu Li Linlin Shen Sheng Guo Zhihui Lai OOD 23 84 0 28 Jul 2021
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning Yihao Huang Qing Guo Felix Juefei Xu Lei Ma Weikai Miao Yang Liu G. Pu AAML 19 14 0 14 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 14 0 14 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 27 9 0 12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks Shoaib Ahmed Siddiqui Thomas Breuel AAML 16 1 0 10 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 22 3 0 25 Jun 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations Sungmin Cha Naeun Ko Young Joon Yoo Taesup Moon AAML 23 2 0 22 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks F. Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 24 8 0 22 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 27 33 0 20 Jun 2021
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks Emre Ozfatura Muhammad Zaid Hameed Kerem Ozfatura Deniz Gunduz AAML 8 1 0 18 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 27 21 0 17 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 20 13 0 12 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality Yonggang Zhang Biwei Huang Tongliang Liu Gang Niu Xinmei Tian Bo Han Bernhard Schölkopf Kun Zhang OOD AAML CML 27 35 0 11 Jun 2021
Neural Optimization Kernel: Towards Robust Deep Learning Yueming Lyu Ivor Tsang 22 1 0 11 Jun 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features Dawei Zhou Tongliang Liu Bo Han N. Wang Chunlei Peng Xinbo Gao AAML 17 44 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation Jingjing Xiong L. Po W. Yu Chang Zhou Pengfei Xian Weifeng Ou SSeg 21 27 0 08 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 34 14 0 07 Jun 2021
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics Bhavin Choksi Milad Mozafari Callum Biggs O'May Benjamin Ador A. Alamia Rufin VanRullen AI4CE 22 35 0 04 Jun 2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer Ao Chen Chen Li Hao Chen Hechen Yang Penghui Zhao Weiming Hu Wanli Liu Shuojia Zou M. Grzegorzek 24 2 0 03 Jun 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout Pengfei Xie Linyuan Wang Ruoxi Qin Kai Qiao S. Shi Guoen Hu Bin Yan AAML 19 7 0 03 Jun 2021
Exploring Memorization in Adversarial Training Yinpeng Dong Ke Xu Xiao Yang Tianyu Pang Zhijie Deng Hang Su Jun Zhu TDI 33 69 0 03 Jun 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 33 4 0 18 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 28 79 0 14 May 2021
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 17 2 0 10 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 18 16 0 06 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 11 122 0 01 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 24 59 0 23 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 43 13 0 20 Apr 2021
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation Mo Zhang Fei Yu Jie Zhao Li Zhang Quanzheng Li 34 37 0 08 Apr 2021
Universal Spectral Adversarial Attacks for Deformable Shapes Arianna Rampini Franco Pestarini Luca Cosmo Simone Melzi Emanuele Rodolà AAML 22 18 0 07 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 20 1 0 05 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 17 25 0 04 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 37 11 0 01 Apr 2021
Improving robustness against common corruptions with frequency biased models Tonmoy Saikia Cordelia Schmid Thomas Brox OOD 26 40 0 30 Mar 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking Shuai Jia Yibing Song Chao Ma Xiaokang Yang AAML 45 48 0 27 Mar 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip Torr Guohao Li AAML 34 26 0 26 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale Zuxuan Wu Tom Goldstein L. Davis Ser-Nam Lim AAML GAN 29 1 0 25 Mar 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition Yaodong Yu Zitong Yang Yan Sun Jacob Steinhardt Yi Ma 18 17 0 17 Mar 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy Bronya R. Chernyak Bhiksha Raj Tamir Hazan Joseph Keshet AAML 18 1 0 15 Mar 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 38 34 0 15 Mar 2021