v1v2 (latest)

Spatially Transformed Adversarial Examples

8 January 2018

Jun-Yan Zhu

Papers citing "Spatially Transformed Adversarial Examples"

50 / 219 papers shown

Title
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 64 12 0 10 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 164 0 08 Sep 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 33 1 0 31 Aug 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 56 4 0 29 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning M. K. Yucel R. G. Cinbis P. D. Sahin VLM 68 7 0 17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 60 9 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 85 32 0 06 Aug 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 76 81 0 16 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 106 135 0 01 Jul 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 115 189 0 22 Jun 2020
Adversarial Defense by Latent Style Transformations Shuo Wang Surya Nepal A. Abuadbba Carsten Rudolph M. Grobler AAML 36 11 0 17 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong Jinwoo Shin AAML 86 88 0 07 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 135 183 0 28 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 84 93 0 05 May 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations Jay Nandy Wynne Hsu Mong Li Lee AAML 65 12 0 05 Apr 2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation Lu Liu Jiangning Zhang Ruifei He Yong Liu Yabiao Wang Ying Tai Donghao Luo Chengjie Wang Jilin Li Feiyue Huang 100 177 0 29 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 63 23 0 10 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Yue Liu AAML 147 57 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 167 812 0 26 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 88 12 0 26 Feb 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 152 39 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 69 406 0 26 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks Taro Kiritani Koji Ono AAML 36 3 0 13 Feb 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Jian-Xun Wang Bing Yu Wei Feng Yang Liu AAML 64 17 0 10 Feb 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 85 8 0 21 Jan 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces Seyed Mehdi Iranmanesh Ali Dabouei Sobhan Soleymani Hadi Kazemi Nasser M. Nasrabadi 3DH CVBM 71 11 0 07 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations Lin Wang Wonjune Cho Kuk-Jin Yoon AAML 79 25 0 06 Jan 2020
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 108 36 0 26 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 84 115 0 15 Dec 2019
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw Soheil Feizi AAML 75 20 0 25 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 115 13 0 20 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 112 52 0 18 Nov 2019
SMART: Skeletal Motion Action Recognition aTtack He Wang Feixiang He Zexi Peng Yong-Liang Yang Tianjia Shao Kun Zhou David C. Hogg AAML 55 5 0 16 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 116 150 0 06 Nov 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 205 103 0 17 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 144 19 0 08 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 62 8 0 03 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering Lakshya Jain Varun Chandrasekaran Uyeong Jang Wilson Wu Andrew Lee Andy Yan Steven Chen S. Jha Sanjit A. Seshia AAML 72 11 0 02 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 79 680 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 49 36 0 17 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition Jian Liu Naveed Akhtar Ajmal Mian AAML 67 68 0 14 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 110 199 0 11 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? Alfred Laugros A. Caplier Matthieu Ospici AAML 56 40 0 04 Sep 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 99 129 0 14 Aug 2019
Understanding Adversarial Robustness Through Loss Landscape Geometries Vinay Uday Prabhu Dian Ang Yap Joyce Xu John Whaley AAML 58 17 0 22 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 104 70 0 21 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 307 1,487 0 16 Jul 2019