Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 68 1,231 0 29 Apr 2019
Data Poisoning Attack against Knowledge Graph Embedding Hengtong Zhang T. Zheng Jing Gao Chenglin Miao Lu Su Yaliang Li K. Ren KELM 18 81 0 26 Apr 2019
General risk measures for robust machine learning Émilie Chouzenoux Henri Gérard J. Pesquet OOD 11 7 0 26 Apr 2019
Physical Adversarial Textures that Fool Visual Object Tracking R. Wiyatno Anqi Xu AAML 26 73 0 24 Apr 2019
A Robust Approach for Securing Audio Classification Against Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 6 70 0 24 Apr 2019
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping K. Khabarlak L. Koriashkina AAML 8 1 0 23 Apr 2019
Using Videos to Evaluate Image Model Robustness Keren Gu Brandon Yang Jiquan Ngiam Quoc V. Le Jonathon Shlens AAML 8 44 0 22 Apr 2019
Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach R. Taheri R. Javidan Mohammad Shojafar P. Vinod Mauro Conti AAML 17 34 0 20 Apr 2019
Gotta Catch Ém All: Using Honeypots to Catch Adversarial Attacks on Neural Networks Shawn Shan Emily Wenger Bolun Wang Yangqiu Song Haitao Zheng Ben Y. Zhao 25 71 0 18 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee S. Sarkar C. Hegde AAML 6 99 0 17 Apr 2019
Interpreting Adversarial Examples with Attributes Sadaf Gulshad J. H. Metzen A. Smeulders Zeynep Akata FAtt AAML 33 6 0 17 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen Chong Li Minyi Guo Yuhao Zhu AAML 24 51 0 17 Apr 2019
Reducing Adversarial Example Transferability Using Gradient Regularization George Adam P. Smirnov B. Haibe-Kains Anna Goldenberg AAML 27 4 0 16 Apr 2019
Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings Jaehun Kim Julián Urbano Cynthia C. S. Liem Alan Hanjalic 21 0 0 15 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 34 149 0 12 Apr 2019
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients Yatie Xiao Chi-Man Pun AAML GAN TTA 11 0 0 12 Apr 2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense Lingyun Jiang Kai Qiao Ruoxi Qin Linyuan Wang Jian Chen Haibing Bu Bin Yan AAML 12 8 0 12 Apr 2019
Deep learning as optimal control problems: models and numerical methods Martin Benning E. Celledoni Matthias Joachim Ehrhardt B. Owren Carola-Bibiane Schönlieb 21 81 0 11 Apr 2019
StegaStamp: Invisible Hyperlinks in Physical Photographs Matthew Tancik B. Mildenhall Ren Ng WIGM 40 360 0 10 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 11 143 0 10 Apr 2019
Joint Activity Recognition and Indoor Localization with WiFi Fingerprints Fei Wang Jianwei Feng Yinliang Zhao Xiaobin Zhang Shiyuan Zhang Jinsong Han 20 138 0 10 Apr 2019
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models Yehao Kong Jiliang Zhang 16 26 0 08 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 27 21 0 07 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 49 829 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 22 25 0 05 Apr 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks Yotam Gil Yoav Chai O. Gorodissky Jonathan Berant MLAU AAML 27 44 0 04 Apr 2019
Improved Inference via Deep Input Transfer Saeid Asgari Taghanaki Kumar Abhishek Ghassan Hamarneh SSeg 21 7 0 04 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 27 654 0 03 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan X. Lin AAML FAtt 24 43 0 03 Apr 2019
Adversarial Attacks against Deep Saliency Models Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling G. Guo P. Le Callet AAML 19 4 0 02 Apr 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks Yucheng Shi Siyu Wang Yahong Han AAML 18 116 0 02 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models Sharon Zhou Mitchell L. Gordon Ranjay Krishna Austin Narcomey Li Fei-Fei Michael S. Bernstein VLM EGVM 6 118 0 01 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 47 50 0 01 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 17 151 0 01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 24 82 0 31 Mar 2019
Rallying Adversarial Techniques against Deep Learning for Network Security Joseph Clements Yuzhe Yang Ankur A Sharma Hongxin Hu Yingjie Lao AAML 25 51 0 27 Mar 2019
Bridging Adversarial Robustness and Gradient Interpretability Beomsu Kim Junghoon Seo Taegyun Jeon AAML 19 39 0 27 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 20 30 0 27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 14 238 0 27 Mar 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 14 68 0 26 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 32 75 0 25 Mar 2019
The LogBarrier adversarial attack: making effective use of decision boundary information Chris Finlay Aram-Alexandre Pooladian Adam M. Oberman AAML 26 25 0 25 Mar 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 24 36 0 25 Mar 2019
Variational Inference with Latent Space Quantization for Adversarial Resilience Vinay Kyatham P. PrathoshA. Tarun Kumar Yadav Deepak Mishra Dheeraj Mundhra AAML 19 3 0 24 Mar 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 32 14 0 23 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 6 47 0 23 Mar 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin Nicholas Carlini Ian Goodfellow G. Cottrell Colin Raffel AAML 38 377 0 22 Mar 2019
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network Aupendu Kar P. Biswas AAML UQCV SupR OOD 30 11 0 22 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 11 164 0 21 Mar 2019
Robust Image Segmentation Quality Assessment Leixin Zhou Wenxiang Deng Xiaodong Wu 15 8 0 20 Mar 2019