v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Joint Activity Recognition and Indoor Localization with WiFi Fingerprints Fei Wang Jianwei Feng Yinliang Zhao Xiaobin Zhang Shiyuan Zhang Jinsong Han 82 142 0 10 Apr 2019
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models Yehao Kong Jiliang Zhang 52 28 0 08 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 69 24 0 07 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 96 858 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 67 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 50 46 0 04 Apr 2019
Improved Inference via Deep Input Transfer Saeid Asgari Taghanaki Kumar Abhishek Ghassan Hamarneh SSeg 66 7 0 04 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 121 671 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 Xinyu Lin AAML FAtt 140 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 49 4 0 02 Apr 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks Yucheng Shi Siyu Wang Yahong Han AAML 131 117 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 82 121 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 150 51 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 64 152 0 01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 73 83 0 31 Mar 2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar 68 52 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 80 52 0 27 Mar 2019
Bridging Adversarial Robustness and Gradient Interpretability Beomsu Kim Junghoon Seo Taegyun Jeon AAML 84 40 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 65 31 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 61 246 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 82 70 0 26 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 79 76 0 25 Mar 2019
The LogBarrier adversarial attack: making effective use of decision boundary information Chris Finlay Aram-Alexandre Pooladian Adam M. Oberman AAML 79 25 0 25 Mar 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 48 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 48 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 91 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 67 49 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 107 381 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 54 12 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 85 168 0 21 Mar 2019
Robust Image Segmentation Quality Assessment Leixin Zhou Wenxiang Deng Xiaodong Wu 82 8 0 20 Mar 2019
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems H. Abdullah Washington Garcia Christian Peeters Patrick Traynor Kevin R. B. Butler Joseph N. Wilson AAML 72 168 0 18 Mar 2019
Generating Adversarial Examples With Conditional Generative Adversarial Net Ping Yu Kaitao Song Jianfeng Lu AAML GAN 43 23 0 18 Mar 2019
Adversarial Attacks on Deep Neural Networks for Time Series Classification Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AAML 90 135 0 17 Mar 2019
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks Ian Goodfellow AAML OOD 85 31 0 14 Mar 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 68 36 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 113 2 0 10 Mar 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 92 233 0 04 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 71 49 0 04 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 89 41 0 03 Mar 2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples Uiwon Hwang Jaewoo Park Hyemi Jang Sungroh Yoon N. Cho AAML 75 77 0 02 Mar 2019
TamperNN: Efficient Tampering Detection of Deployed Neural Nets Erwan Le Merrer Gilles Tredan MLAU AAML 21 9 0 01 Mar 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 66 53 0 01 Mar 2019
On the Effectiveness of Low Frequency Perturbations Yash Sharma G. Ding Marcus A. Brubaker AAML 92 126 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 112 125 0 28 Feb 2019
Tensor Dropout for Robust Learning Arinbjorn Kolbeinsson Jean Kossaifi Yannis Panagakis Adrian Bulat Anima Anandkumar I. Tzoulaki Paul Matthews OOD 147 2 0 27 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 88 43 0 27 Feb 2019
Disentangled Deep Autoencoding Regularization for Robust Image Classification Zhenyu Duan Martin Renqiang Min Erran L. Li Mingbo Cai Yi Tian Xu Bingbing Ni 29 2 0 27 Feb 2019
Intelligent Autonomous Things on the Battlefield Alexander Kott Ethan Stump 28 11 0 26 Feb 2019
Verification of Non-Linear Specifications for Neural Networks Chongli Qin Krishnamurthy Dvijotham Dvijotham Brendan O'Donoghue Rudy Bunel Robert Stanforth Sven Gowal J. Uesato G. Swirszcz Pushmeet Kohli AAML 68 44 0 25 Feb 2019