Robust Physical-World Attacks on Deep Learning Models

27 July 2017

Papers citing "Robust Physical-World Attacks on Deep Learning Models"

50 / 123 papers shown

Title
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 19 28 0 13 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 28 80 0 22 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 15 9 0 16 Jan 2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 26 61 0 01 Jan 2020
Automated Testing for Deep Learning Systems with Differential Behavior Criteria Yuan Gao Yiqiang Han 17 2 0 31 Dec 2019
Efficient Adversarial Training with Transferable Adversarial Examples Haizhong Zheng Ziqi Zhang Juncheng Gu Honglak Lee A. Prakash AAML 24 108 0 27 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 14 18 0 05 Dec 2019
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw S. Feizi AAML 31 20 0 25 Nov 2019
Identifying Model Weakness with Adversarial Examiner Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille AAML ELM 27 19 0 25 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
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? Ali Shafahi Amin Ghiasi Furong Huang Tom Goldstein AAML 27 40 0 25 Oct 2019
Streaming Networks: Enable A Robust Classification of Noise-Corrupted Images Junbao Zhou Fumihiko Takahashi 19 3 0 23 Oct 2019
Attacking Optical Flow Anurag Ranjan J. Janai Andreas Geiger Michael J. Black AAML 3DPC 19 87 0 22 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 19 106 0 02 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 437 0 26 Sep 2019
Towards Quality Assurance of Software Product Lines with Adversarial Configurations Paul Temple M. Acher Gilles Perrouin Battista Biggio J. Jézéquel Fabio Roli AAML 22 11 0 16 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 143 162 0 10 Sep 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 32 54 0 26 Jul 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
Quantitative Verification of Neural Networks And its Security Applications Teodora Baluta Shiqi Shen Shweta Shinde Kuldeep S. Meel P. Saxena AAML 24 104 0 25 Jun 2019
Robustness Verification of Tree-based Models Hongge Chen Huan Zhang Si Si Yang Li Duane S. Boning Cho-Jui Hsieh AAML 22 76 0 10 Jun 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss Pengcheng Li Jinfeng Yi Bowen Zhou Lijun Zhang AAML 37 36 0 28 May 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking Yunhan Jia Yantao Lu Junjie Shen Qi Alfred Chen Zhenyu Zhong Tao Wei AAML VOT 13 33 0 27 May 2019
AI Enabling Technologies: A Survey V. Gadepally Justin A. Goodwin J. Kepner Albert Reuther Hayley Reynolds S. Samsi Jonathan Su David Martinez 27 24 0 08 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 22 67 0 01 May 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 49 565 0 18 Apr 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
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments Xiaotong Chen Rui Chen Zhiqiang Sui Zhefan Ye Yanqi Liu R. I. Bahar Odest Chadwicke Jenkins 24 23 0 20 Mar 2019
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models Adith Boloor Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 21 74 0 12 Mar 2019
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training S. Kokalj-Filipovic Rob Miller Nicholas Chang Chi Leung Lau AAML 22 36 0 16 Feb 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
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 22 117 0 07 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 21 92 0 01 Dec 2018
A Spectral View of Adversarially Robust Features Shivam Garg Vatsal Sharan B. Zhang Gregory Valiant AAML 22 21 0 15 Nov 2018
Exploring Connections Between Active Learning and Model Extraction Varun Chandrasekaran Kamalika Chaudhuri Irene Giacomelli Shane Walker Songbai Yan MIACV 14 157 0 05 Nov 2018
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Bo-wen Li Jia Deng M. Liu AAML 32 25 0 11 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Bo-wen Li Feng Yu M. Liu D. Song AAML 19 99 0 11 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 24 171 0 01 Oct 2018
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards Mhafuzul Islam M. Chowdhury Hongda Li Hongxin Hu AAML 16 12 0 27 Sep 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Bo-wen Li 3DPC 24 286 0 19 Sep 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 14 105 0 16 Sep 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 21 54 0 13 Sep 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 37 19 0 21 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 42 13 0 08 Aug 2018
Harmonic Adversarial Attack Method Wen Heng Shuchang Zhou Tingting Jiang AAML 22 6 0 18 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 50 226 0 18 Jul 2018
Experimental Resilience Assessment of An Open-Source Driving Agent A. Rubaiyat Yongming Qin H. Alemzadeh 27 44 0 17 Jul 2018