Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
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 17 165 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 24 133 0 17 Mar 2019
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks Ian Goodfellow AAML OOD 33 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 23 36 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 29 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 14 226 0 04 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia-Yu Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 25 46 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 31 40 0 03 Mar 2019
PuVAE: A Variational Autoencoder to Purify Adversarial Examples Uiwon Hwang Jaewoo Park Hyemi Jang Sungroh Yoon N. Cho AAML 15 76 0 02 Mar 2019
TamperNN: Efficient Tampering Detection of Deployed Neural Nets Erwan Le Merrer Gilles Tredan MLAU AAML 6 9 0 01 Mar 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 14 50 0 01 Mar 2019
On the Effectiveness of Low Frequency Perturbations Yash Sharma G. Ding Marcus A. Brubaker AAML 35 121 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 24 122 0 28 Feb 2019
Tensor Dropout for Robust Learning Arinbjorn Kolbeinsson Jean Kossaifi Yannis Panagakis Adrian Bulat Anima Anandkumar I. Tzoulaki Paul Matthews OOD 28 2 0 27 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 19 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 16 2 0 27 Feb 2019
Intelligent Autonomous Things on the Battlefield Alexander Kott Ethan Stump 11 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 14 43 0 25 Feb 2019
Adversarial attacks hidden in plain sight Jan Philip Göpfert André Artelt H. Wersing Barbara Hammer AAML 17 17 0 25 Feb 2019
Visualization, Discriminability and Applications of Interpretable Saak Features Abinaya Manimaran T. Ramanathan Suya You C.-C. Jay Kuo FAtt 16 8 0 25 Feb 2019
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems Meysam Sadeghi Erik G. Larsson AAML 22 112 0 22 Feb 2019
Quantifying Perceptual Distortion of Adversarial Examples Matt Jordan N. Manoj Surbhi Goel A. Dimakis 19 39 0 21 Feb 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong Frank R. Schmidt J. Zico Kolter AAML 36 210 0 21 Feb 2019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 11 30 0 20 Feb 2019
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning N. Laanait Qian He A. Borisevich 17 8 0 19 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow A. Madry Alexey Kurakin ELM AAML 25 891 0 18 Feb 2019
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks Yueyao Yu Pengfei Yu Wenye Li AAML 11 6 0 18 Feb 2019
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training S. Kokalj-Filipovic Rob Miller Nicholas Chang Chi Leung Lau AAML 16 36 0 16 Feb 2019
Adversarial Examples in RF Deep Learning: Detection of the Attack and its Physical Robustness S. Kokalj-Filipovic Rob Miller AAML 17 31 0 16 Feb 2019
DeepFault: Fault Localization for Deep Neural Networks Hasan Ferit Eniser Simos Gerasimou A. Sen AAML 20 86 0 15 Feb 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples Kevin Roth Yannic Kilcher Thomas Hofmann AAML 27 175 0 13 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 26 39 0 12 Feb 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks Chao-Han Huck Yang Yi-Chieh Liu Pin-Yu Chen Xiaoli Ma Y. Tsai BDL AAML CML 27 21 0 09 Feb 2019
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks Priyadarshini Panda I. Chakraborty Kaushik Roy AAML 17 40 0 08 Feb 2019
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis Danilo Vasconcellos Vargas Jiawei Su FAtt AAML 11 36 0 08 Feb 2019
Robustness Of Saak Transform Against Adversarial Attacks T. Ramanathan Abinaya Manimaran Suya You C.-C. Jay Kuo 17 5 0 07 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 30 40 0 06 Feb 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo Sunghwan Joo Taesup Moon AAML FAtt 21 201 0 06 Feb 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss Nicholas Frosst Nicolas Papernot Geoffrey E. Hinton 12 157 0 05 Feb 2019
Theoretical evidence for adversarial robustness through randomization Rafael Pinot Laurent Meunier Alexandre Araujo H. Kashima Florian Yger Cédric Gouy-Pailler Jamal Atif AAML 44 82 0 04 Feb 2019
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique AAML 11 7 0 04 Feb 2019
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks S. Saralajew Lars Holdijk Maike Rees T. Villmann OOD 17 19 0 01 Feb 2019
Robustness Certificates Against Adversarial Examples for ReLU Networks Sahil Singla S. Feizi AAML 19 21 0 01 Feb 2019
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 19 10 0 01 Feb 2019
A New Family of Neural Networks Provably Resistant to Adversarial Attacks Rakshit Agrawal Luca de Alfaro D. Helmbold AAML OOD 27 2 0 01 Feb 2019
Augmenting Model Robustness with Transformation-Invariant Attacks Houpu Yao Zhe Wang Guangyu Nie Yassine Mazboudi Yezhou Yang Yi Ren AAML OOD 6 3 0 31 Jan 2019
Adversarial Metric Attack and Defense for Person Re-identification S. Bai Yingwei Li Yuyin Zhou Qizhu Li Philip Torr AAML 13 17 0 30 Jan 2019
RED-Attack: Resource Efficient Decision based Attack for Machine Learning Faiq Khalid Hassan Ali Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Muhammad Shafique AAML 31 14 0 29 Jan 2019
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks Alberto Marchisio Giorgio Nanfa Faiq Khalid Muhammad Abdullah Hanif Maurizio Martina Muhammad Shafique GAN AAML 19 26 0 28 Jan 2019
Weighted-Sampling Audio Adversarial Example Attack Xiaolei Liu Xiaosong Zhang Kun Wan Qingxin Zhu Yufei Ding DiffM AAML 36 36 0 26 Jan 2019