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

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

8 May 2017

Madhuri Shanbhogue

Michael E. Kounavis

Duen Horng Chau

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

16 / 166 papers shown

Title
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial ExamplesComputer Vision and Pattern Recognition (CVPR), 2018 Zihao Liu Qi Liu Tao Liu Nuo Xu Xue Lin Yanzhi Wang Wujie Wen AAML MQ 181 298 0 14 Mar 2018
Combating Adversarial Attacks Using Sparse RepresentationsInternational Conference on Learning Representations (ICLR), 2018 S. Gopalakrishnan Zhinus Marzi Upamanyu Madhow Ramtin Pedarsani AAML 121 25 0 11 Mar 2018
Protecting JPEG Images Against Adversarial AttacksData Compression Conference (DCC), 2018 Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 128 34 0 02 Mar 2018
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 180 174 0 22 Feb 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 168 242 0 19 Feb 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 216 322 0 26 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 205 578 0 21 Jan 2018
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers Zhinus Marzi S. Gopalakrishnan Upamanyu Madhow Ramtin Pedarsani AAML 128 31 0 15 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 174 1,135 0 05 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Lin Wang AAML 373 1,970 0 02 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser Fangzhou Liao Ming Liang Yinpeng Dong Tianyu Pang Xiaolin Hu Jun Zhu 372 977 0 08 Dec 2017
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition Dogancan Temel Gukyeong Kwon Mohit Prabhushankar G. Al-Regib 158 78 0 07 Dec 2017
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation Y. Yoo Seonguk Park Junyoung Choi Sangdoo Yun Nojun Kwak AAML 102 4 0 27 Nov 2017
Enhanced Attacks on Defensively Distilled Deep Neural Networks Yujia Liu Weiming Zhang Shaohua Li Nenghai Yu AAML 123 6 0 16 Nov 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 172 242 0 09 Apr 2017
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks Yi Han Benjamin I. P. Rubinstein SILM AAML 121 6 0 06 Apr 2017