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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,338 papers shown

Title
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck Basel Alomair Michael E. Houle James Bailey AAML 138 742 0 08 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu Basel Alomair AAML 104 524 0 08 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 131 905 0 08 Jan 2018
LaVAN: Localized and Visible Adversarial Noise D. Karmon Daniel Zoran Yoav Goldberg AAML 84 244 0 08 Jan 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 141 697 0 06 Jan 2018
Generating Neural Networks with Neural Networks Lior Deutsch 105 21 0 06 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 101 1,083 0 05 Jan 2018
Facial Attributes: Accuracy and Adversarial Robustness Andras Rozsa Manuel Günther Ethan M. Rudd Terrance E. Boult AAML CVBM 93 65 0 04 Jan 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples S. Dube 128 29 0 02 Jan 2018
Did you hear that? Adversarial Examples Against Automatic Speech Recognition M. Alzantot Bharathan Balaji Mani B. Srivastava AAML 80 252 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 146 1,873 0 02 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 84 196 0 31 Dec 2017
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 98 1,099 0 27 Dec 2017
The Robust Manifold Defense: Adversarial Training using Generative Models A. Jalal Andrew Ilyas C. Daskalakis A. Dimakis AAML 109 174 0 26 Dec 2017
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger Vahid Behzadan Arslan Munir AAML 95 68 0 23 Dec 2017
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 59 24 0 23 Dec 2017
Inverse Classification for Comparison-based Interpretability in Machine Learning Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 140 101 0 22 Dec 2017
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks Siqi Yang Arnold Wiliem Shaokang Chen Brian C. Lovell CVBM AAML 61 3 0 22 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples Jiefeng Chen Zihang Meng Changtian Sun Weiliang Tang Yinglun Zhu AAML GAN 49 4 0 21 Dec 2017
Note on Attacking Object Detectors with Adversarial Stickers Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Basel Alomair Tadayoshi Kohno Amir Rahmati A. Prakash Florian Tramèr AAML 71 36 0 21 Dec 2017
Enhance Visual Recognition under Adverse Conditions via Deep Networks Ding Liu Bowen Cheng Zhangyang Wang Haichao Zhang Thomas S. Huang 73 46 0 20 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 156 1,628 0 19 Dec 2017
HotFlip: White-Box Adversarial Examples for Text Classification J. Ebrahimi Anyi Rao Daniel Lowd Dejing Dou AAML 83 78 0 19 Dec 2017
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time David J. Miller Yujia Wang G. Kesidis AAML 55 44 0 18 Dec 2017
Wasserstein Distributionally Robust Optimization and Variation Regularization Rui Gao Xi Chen A. Kleywegt OOD 86 131 0 17 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica Basel Alomair Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 87 201 0 15 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 155 1,864 0 15 Dec 2017
Unsupervised Histopathology Image Synthesis L. Hou Ayush Agarwal Dimitris Samaras Tahsin M. Kurc Rajarsi R. Gupta Joel H. Saltz MedIm 52 64 0 13 Dec 2017
Training Ensembles to Detect Adversarial Examples Alexander Bagnall Razvan Bunescu Gordon Stewart AAML 57 39 0 11 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 80 308 0 11 Dec 2017
NAG: Network for Adversary Generation Konda Reddy Mopuri Utkarsh Ojha Utsav Garg R. Venkatesh Babu AAML 88 146 0 09 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 181 1,411 0 08 Dec 2017
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser Fangzhou Liao Ming Liang Yinpeng Dong Tianyu Pang Xiaolin Hu Jun Zhu 112 893 0 08 Dec 2017
CycleGAN, a Master of Steganography Casey Chu A. Zhmoginov Mark Sandler GAN 77 213 0 08 Dec 2017
Exploring the Landscape of Spatial Robustness Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Madry AAML 160 363 0 07 Dec 2017
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 84 144 0 07 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 88 356 0 06 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 228 702 0 06 Dec 2017
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning Hongge Chen Huan Zhang Pin-Yu Chen Jinfeng Yi Cho-Jui Hsieh GAN AAML 84 49 0 06 Dec 2017
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems Kexin Pei Linjie Zhu Yinzhi Cao Junfeng Yang Carl Vondrick Suman Jana AAML 111 103 0 05 Dec 2017
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Tribhuvanesh Orekondy Mario Fritz Bernt Schiele PICV 82 82 0 04 Dec 2017
Improving Network Robustness against Adversarial Attacks with Compact Convolution Rajeev Ranjan S. Sankaranarayanan Carlos D. Castillo Rama Chellappa AAML 65 14 0 03 Dec 2017
Towards Robust Neural Networks via Random Self-ensemble Xuanqing Liu Minhao Cheng Huan Zhang Cho-Jui Hsieh FedML AAML 108 424 0 02 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 89 250 0 30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 111 385 0 30 Nov 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases Pierre Stock Moustapha Cissé FaML 94 46 0 30 Nov 2017
Security Risks in Deep Learning Implementations Qixue Xiao Kang Li Deyue Zhang Weilin Xu SILM 46 70 0 29 Nov 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 151 255 0 27 Nov 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 115 308 0 27 Nov 2017
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients A. Ross Finale Doshi-Velez AAML 162 688 0 26 Nov 2017