Semantic Adversarial Examples

16 March 2018

Papers citing "Semantic Adversarial Examples"

50 / 115 papers shown

Title
On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen M. Raghu Simon Kornblith 30 14 0 15 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 22 30 0 09 Feb 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 31 20 0 04 Jan 2022
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network Yihao Huang Felix Juefei Xu Qing Guo G. Pu Yang Liu GAN 30 3 0 25 Nov 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 52 16 0 22 Sep 2021
Joint Optical Neuroimaging Denoising with Semantic Tasks Tianfang Zhu Yue Guan A. Li 21 0 0 22 Sep 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge Belongie SerNam Lim OOD AAML 24 26 0 06 Sep 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 24 89 0 20 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 26 16 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 41 236 0 01 Aug 2021
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity Yajie Wang Shangbo Wu Wenyi Jiang Shengang Hao Yu-an Tan Quan-xin Zhang AAML 8 27 0 03 Jul 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 34 28 0 01 Jun 2021
Simple Transparent Adversarial Examples Jaydeep Borkar Pin-Yu Chen AAML 19 6 0 20 May 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 39 3 0 22 Apr 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 44 8 0 13 Mar 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 24 138 0 11 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach Alina Elena Baia G. D. Bari V. Poggioni AAML 31 8 0 27 Feb 2021
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss Pengrui Quan Ruiming Guo Mani B. Srivastava AAML 18 1 0 31 Jan 2021
Revisiting Edge Detection in Convolutional Neural Networks Minh Le Subhradeep Kayal FAtt 15 13 0 25 Dec 2020
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks Jayendra Kantipudi S. Dubey Soumendu Chakraborty AAML 47 19 0 20 Dec 2020
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 31 6 0 07 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 32 12 0 12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 19 5 0 05 Nov 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 22 5 0 13 Aug 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 22 14 0 26 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla S. Feizi AAML OOD 29 182 0 22 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 22 2 0 12 Jun 2020
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition Chengwei Zhang Yunlu Xu Zhanzhan Cheng Shiliang Pu Yi Niu Fei Wu Futai Zou 29 27 0 27 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 43 42 0 20 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 92 0 05 May 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 25 25 0 26 Apr 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 33 55 0 19 Mar 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
Type I Attack for Generative Models Chengjin Sun Sizhe Chen Jia Cai Xiaolin Huang AAML 30 10 0 04 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Bo-wen Li AAML 35 56 0 27 Feb 2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter Zhengyu Zhao Zhuoran Liu Martha Larson 4 1 0 03 Feb 2020
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities Isaac Dunn Laura Hanu Hadrien Pouget Daniel Kroening T. Melham AAML 22 2 0 29 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 31 12 0 06 Jan 2020
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations Jeet Mohapatra Tsui-Wei Weng Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 10 18 0 19 Dec 2019
ColorFool: Semantic Adversarial Colorization Ali Shahin Shamsabadi Ricardo Sánchez-Matilla Andrea Cavallaro AAML 19 118 0 25 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 21 21 0 20 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 18 142 0 06 Nov 2019
EdgeFool: An Adversarial Image Enhancement Filter Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro AAML 6 22 0 27 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 13 2 0 22 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 13 32 0 14 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 104 19 0 08 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 S. Seshia AAML 21 11 0 02 Oct 2019
Random Directional Attack for Fooling Deep Neural Networks Wenjian Luo Chenwang Wu Nan Zhou Li Ni AAML 6 4 0 06 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 106 1,428 0 16 Jul 2019
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 20 82 0 05 Jun 2019