Papers citing 'Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression'

Title
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Lin Wang AAML 99 10 0 25 Feb 2020
AdvMS: A Multi-source Multi-cost Defense Against Adversarial AttacksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin Peter Chin AAML 117 3 0 19 Feb 2020
Block Switching: A Stochastic Approach for Deep Learning Security Tianlin Li Siyue Wang Pin-Yu Chen Xinyu Lin S. Chin AAML 88 23 0 18 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 228 584 0 12 Feb 2020
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Shehzeen Samarah Hussain Paarth Neekhara Malhar Jere F. Koushanfar Julian McAuley AAML 218 171 0 09 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 230 1 0 08 Feb 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense Meng Jianhai Su Jason M. O'Kane Pooyan Jamshidi AAML 96 7 0 02 Jan 2020
ColorFool: Semantic Adversarial ColorizationComputer Vision and Pattern Recognition (CVPR), 2019 Ali Shahin Shamsabadi Ricardo Sánchez-Matilla Andrea Cavallaro AAML 190 142 0 25 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example DetectionEuropean Symposium on Security and Privacy (EuroS&P), 2019 Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 109 36 0 05 Nov 2019
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics Dogancan Temel Min-Hung Chen G. Al-Regib 116 76 0 29 Aug 2019
Adversarial Defense by Suppressing High-frequency Components Zhendong Zhang Cheolkon Jung X. Liang 151 26 0 19 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network OnceIEEE International Conference on Computer Vision (ICCV), 2019 Jiangfan Han Xiaoyi Dong Ruimao Zhang Dongdong Chen Weiming Zhang Nenghai Yu Ping Luo Xiaogang Wang AAML 191 31 0 14 Aug 2019
Defending Against Adversarial Attacks Using Random Forests Yifan Ding Liqiang Wang Huan Zhang Jinfeng Yi Deliang Fan Boqing Gong AAML 103 15 0 16 Jun 2019
An Efficient Pre-processing Method to Eliminate Adversarial Effects Hua Wang Jie Wang Z. Yin AAML 61 3 0 15 May 2019
Moving Target Defense for Deep Visual Sensing against Adversarial ExamplesACM International Conference on Embedded Networked Sensor Systems (SenSys), 2019 Qun Song Zhenyu Yan Rui Tan AAML 98 25 0 11 May 2019
Analytical Moment Regularizer for Gaussian Robust Networks Modar Alfadly Adel Bibi Guohao Li AAML 61 4 0 24 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 166 172 0 12 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 172 156 0 01 Apr 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 187 6 0 25 Feb 2019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 97 32 0 20 Feb 2019
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions Dogancan Temel Tariq A. Alshawi Min-Hung Chen G. Al-Regib 145 23 0 19 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in NoiseInternational Conference on Machine Learning (ICML), 2019 Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 304 331 0 29 Jan 2019
Image Super-Resolution as a Defense Against Adversarial Attacks Aamir Mustafa Salman H. Khan Munawar Hayat Jianbing Shen Ling Shao AAML SupR 187 201 0 07 Jan 2019
Multi-Label Adversarial Perturbations Qingquan Song Haifeng Jin Xiao Huang Helen Zhou AAML 87 40 0 02 Jan 2019
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense Hang Zhou Kejiang Chen Weiming Zhang Han Fang Wenbo Zhou Nenghai Yu 3DPC 122 8 0 25 Dec 2018
Exploiting the Inherent Limitation of L0 Adversarial Examples F. Zuo Bokai Yang Xiaopeng Li Lannan Luo Qiang Zeng AAML 141 1 0 23 Dec 2018
Towards resilient machine learning for ransomware detection Li-Wei Chen Chih-Yuan Yang Anindya Paul R. Sahita AAML 108 22 0 21 Dec 2018
Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings François Menet Paul Berthier José M. Fernandez M. Gagnon AAML 79 11 0 17 Dec 2018
Adversarial Defense of Image Classification Using a Variational Auto-Encoder Yi-Si Luo H. Pfister AAML 98 12 0 07 Dec 2018
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 113 3 0 01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 227 82 0 30 Nov 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 98 3 0 24 Oct 2018
CURE-OR: Challenging Unreal and Real Environments for Object Recognition Dogancan Temel Jinsol Lee G. Al-Regib 112 44 0 18 Oct 2018
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions] Dogancan Temel G. Al-Regib 87 28 0 15 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Yue Liu Feng Yu M. Liu Basel Alomair AAML 162 103 0 11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 176 49 0 02 Oct 2018
Fast Geometrically-Perturbed Adversarial FacesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018 Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM AAML 153 69 0 24 Sep 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 132 76 0 17 Aug 2018
Defense Against Adversarial Attacks with Saak Transform Sibo Song Yueru Chen Ngai-Man Cheung C.-C. Jay Kuo 110 26 0 06 Aug 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 174 235 0 18 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Juil Sock AAML 246 72 0 11 Jul 2018
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity Gerald Friedland Jingkang Wang R. Jia Yue Liu 107 2 0 10 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 274 522 0 03 Jul 2018
Detection based Defense against Adversarial Examples from the Steganalysis Point of View Jiayang Liu Weiming Zhang Yiwei Zhang Dongdong Hou Yujia Liu Hongyue Zha Nenghai Yu AAML 223 106 0 21 Jun 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization A. Bose P. Aarabi AAML 98 93 0 31 May 2018
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Li-Wei Chen Michael E. Kounavis Duen Horng Chau AAML 79 43 0 30 May 2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba OODD 128 6 0 24 Apr 2018
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks Neale Ratzlaff Fuxin Li AAML FedML 102 1 0 05 Apr 2018
Adversarial Attacks and Defences Competition Alexey Kurakin Ian Goodfellow Samy Bengio Yinpeng Dong Fangzhou Liao ... Junjiajia Long Yerkebulan Berdibekov Takuya Akiba Seiya Tokui Motoki Abe AAML SILM 232 342 0 31 Mar 2018
Defending against Adversarial Images using Basis Functions Transformations Uri Shaham J. Garritano Yutaro Yamada Ethan Weinberger A. Cloninger Xiuyuan Cheng Kelly P. Stanton Y. Kluger AAML 136 60 0 28 Mar 2018