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Advances in adversarial attacks and defenses in computer vision: A survey

1 August 2021

Papers citing "Advances in adversarial attacks and defenses in computer vision: A survey"

50 / 335 papers shown

Title
Defending against adversarial attacks by randomized diversification O. Taran Shideh Rezaeifar T. Holotyak Svyatoslav Voloshynovskiy AAML 82 39 0 01 Apr 2019
Adversarial Robustness vs Model Compression, or Both? Shaokai Ye Kaidi Xu Sijia Liu Jan-Henrik Lambrechts Huan Zhang Aojun Zhou Kaisheng Ma Yanzhi Wang Xue Lin AAML 79 165 0 29 Mar 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 97 225 0 28 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 56 31 0 27 Mar 2019
A geometry-inspired decision-based attack Yujia Liu Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 69 54 0 26 Mar 2019
Improving Adversarial Robustness via Guided Complement Entropy Hao-Yun Chen Jhao-Hong Liang Shih-Chieh Chang Jia Pan Yu-Ting Chen Wei Wei Da-Cheng Juan AAML 62 49 0 23 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 81 40 0 03 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 143 574 0 22 Feb 2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions G. Ding Kry Yik-Chau Lui Xiaomeng Jin Luyu Wang Ruitong Huang OOD 64 60 0 22 Feb 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong Frank R. Schmidt J. Zico Kolter AAML 93 211 0 21 Feb 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples Kevin Roth Yannic Kilcher Thomas Hofmann AAML 74 176 0 13 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 173 2,052 0 08 Feb 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang Kun Xu Chao Du Ning Chen Jun Zhu AAML 100 440 0 25 Jan 2019
The Limitations of Adversarial Training and the Blind-Spot Attack Huan Zhang Hongge Chen Zhao Song Duane S. Boning Inderjit S. Dhillon Cho-Jui Hsieh AAML 71 145 0 15 Jan 2019
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks Yue Liu Wei Wu Qiang Wang Fangyi Zhang Junliang Xing Junjie Yan ViT 108 1,811 0 31 Dec 2018
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks T. Brunner Frederik Diehl Michael Truong-Le Alois Knoll MLAU AAML 77 117 0 24 Dec 2018
DeepFakes: a New Threat to Face Recognition? Assessment and Detection Pavel Korshunov S´ebastien Marcel PICV CVBM 86 608 0 20 Dec 2018
Trust Region Based Adversarial Attack on Neural Networks Z. Yao A. Gholami Peng Xu Kurt Keutzer Michael W. Mahoney AAML 54 54 0 16 Dec 2018
Thwarting Adversarial Examples: An $L_0$ -RobustSparse Fourier Transform Mitali Bafna Jack Murtagh Nikhil Vyas AAML 66 48 0 12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 640 10,605 0 12 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 70 60 0 10 Dec 2018
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 133 915 0 09 Dec 2018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 101 273 0 06 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 272 284 0 03 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 87 100 0 03 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 65 76 0 30 Nov 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 123 270 0 30 Nov 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 309 1,060 0 29 Nov 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 143 2,676 0 29 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 113 98 0 29 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses Jérôme Rony L. G. Hafemann Luiz Eduardo Soares de Oliveira Ismail Ben Ayed R. Sabourin Eric Granger AAML 75 299 0 23 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 67 292 0 22 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 83 140 0 19 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 107 167 0 01 Nov 2018
Deep Affinity Network for Multiple Object Tracking Shijie Sun Naveed Akhtar Huansheng Song Ajmal Mian M. Shah VOT 55 331 0 28 Oct 2018
Cost-Sensitive Robustness against Adversarial Examples Xiao Zhang David Evans AAML 71 26 0 22 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 89 40 0 08 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML OOD 112 132 0 01 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 79 171 0 01 Oct 2018
Characterizing Audio Adversarial Examples Using Temporal Dependency Zhuolin Yang Yue Liu Pin-Yu Chen Basel Alomair AAML 54 165 0 28 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM AAML 58 65 0 24 Sep 2018
Unrestricted Adversarial Examples Tom B. Brown Nicholas Carlini Chiyuan Zhang Catherine Olsson Paul Christiano Ian Goodfellow AAML 75 103 0 22 Sep 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 106 294 0 19 Sep 2018
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability Kai Y. Xiao Vincent Tjeng Nur Muhammad (Mahi) Shafiullah Aleksander Madry AAML OOD 55 201 0 09 Sep 2018
Are adversarial examples inevitable? Ali Shafahi Wenjie Huang Christoph Studer Soheil Feizi Tom Goldstein SILM 79 283 0 06 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 140 393 0 05 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 124 162 0 05 Aug 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors Andrew Ilyas Logan Engstrom Aleksander Madry MLAU AAML 104 375 0 20 Jul 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 56 22 0 18 Jul 2018