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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Regularized adversarial examples for model interpretability Yoel Shoshan Vadim Ratner GAN AAML 19 0 0 18 Nov 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection Wenhu Chen Yilin Shen Xin Eric Wang Wenjie Wang UQCV 67 9 0 18 Nov 2018
Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel Chang-Xue Feng Zhenbang Chen W.-Y. Hong Hengbiao Yu Wei Dong Ji Wang AAML 67 1 0 17 Nov 2018
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules Nicholas Frosst S. Sabour Geoffrey E. Hinton GAN 62 47 0 16 Nov 2018
A Spectral View of Adversarially Robust Features Shivam Garg Vatsal Sharan B. Zhang Gregory Valiant AAML 154 21 0 15 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 67 18 0 15 Nov 2018
Deep Q learning for fooling neural networks Mandar M. Kulkarni 39 0 0 13 Nov 2018
Interpretable Credit Application Predictions With Counterfactual Explanations Rory Mc Grath Luca Costabello Chan Le Van Paul Sweeney F. Kamiab Zhao Shen Freddy Lecue FAtt 81 109 0 13 Nov 2018
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation Zhengwei Wang Graham Healy Alan F. Smeaton T. Ward EGVM 78 37 0 10 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses T. A. Hogan B. Kailkhura AAML 64 10 0 09 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 104 64 0 08 Nov 2018
CAAD 2018: Iterative Ensemble Adversarial Attack Jiayang Liu Weiming Zhang Nenghai Yu AAML 67 4 0 07 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 72 200 0 06 Nov 2018
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls Guofu Li Y. Sagduyu Kemal Davaslioglu Jason H. Li AAML 66 31 0 05 Nov 2018
FUNN: Flexible Unsupervised Neural Network David Vigouroux Sylvaine Picard AAML OOD 62 0 0 05 Nov 2018
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics Mauro Barni Kassem Kallas Ehsan Nowroozi B. Tondi AAML 54 34 0 05 Nov 2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Junaid Qadir Mohamed Bennai AAML 85 34 0 04 Nov 2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks Faiq Khalid Hassan Ali Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML MQ 100 37 0 04 Nov 2018
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML 83 21 0 02 Nov 2018
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 124 765 0 02 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 110 244 0 02 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 106 800 0 01 Nov 2018
Improving Adversarial Robustness by Encouraging Discriminative Features Chirag Agarwal Anh Totti Nguyen Dan Schonfeld OOD 66 5 0 01 Nov 2018
On the Geometry of Adversarial Examples Marc Khoury Dylan Hadfield-Menell AAML 81 79 0 01 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin J. Uesato Relja Arandjelović Timothy A. Mann Pushmeet Kohli AAML 109 559 0 30 Oct 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 50 14 0 30 Oct 2018
Towards Robust Deep Neural Networks Timothy E. Wang Jack Gu D. Mehta Xiaojun Zhao Edgar A. Bernal OOD 109 11 0 27 Oct 2018
Regularization Effect of Fast Gradient Sign Method and its Generalization Chandler Zuo AAML 30 8 0 27 Oct 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 51 8 0 23 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 80 27 0 23 Oct 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 40 4 0 23 Oct 2018
Challenge AI Mind: A Crowd System for Proactive AI Testing Siwei Fu Anbang Xu Xiaotong Liu Huimin Zhou Rama Akkiraju 51 1 0 21 Oct 2018
Subset Scanning Over Neural Network Activations Skyler Speakman Srihari Sridharan S. Remy Komminist Weldemariam E. McFowland 56 10 0 19 Oct 2018
Compositional Verification for Autonomous Systems with Deep Learning Components C. Păsăreanu D. Gopinath Huafeng Yu 34 20 0 18 Oct 2018
A Training-based Identification Approach to VIN Adversarial Examples Yingdi Wang Wenjia Niu Tong Chen Yingxiao Xiang Jingjing Liu Gang Li Jiqiang Liu AAML GAN 36 0 0 18 Oct 2018
Provable Robustness of ReLU networks via Maximization of Linear Regions Francesco Croce Maksym Andriushchenko Matthias Hein 92 166 0 17 Oct 2018
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers Nicole Nichols Robert J. Jasper AAML 51 15 0 16 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 90 25 0 16 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Yue Liu Jia Deng M. Liu AAML 63 25 0 11 Oct 2018
$Response to Comment on "All-optical machine learning using diffractive deep neural networks"$ Response to Comment on "All-optical machine learning using diffractive deep neural networks" Deniz Mengu Yilin Luo Y. Rivenson Xing Lin Muhammed Veli Aydogan Ozcan 115 9 0 10 Oct 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 76 47 0 09 Oct 2018
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 88 157 0 05 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 80 34 0 01 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML OOD 112 132 0 01 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 74 67 0 30 Sep 2018
CAAD 2018: Generating Transferable Adversarial Examples Yash Sharma Tien-Dung Le M. Alzantot AAML SILM 85 7 0 29 Sep 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 63 0 0 29 Sep 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 82 43 0 29 Sep 2018
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space Fuxun Yu Chenchen Liu Yanzhi Wang Liang Zhao Xiang Chen AAML OOD 90 27 0 29 Sep 2018