Adversarial attack

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations

Authors: Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio | Published: 2018-04-07
Certified Robustness
Adversarial attack
Robustness of Deep Networks

Adversarial Attacks and Defences Competition

Authors: Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe | Published: 2018-03-31
Certified Robustness
Adversarial attack
Robustness of Deep Networks

Protection against Cloning for Deep Learning

Authors: Richard Kenway | Published: 2018-03-29
Detection of Model Extraction Attacks
Adversarial attack
Robustness of Deep Networks

Defending against Adversarial Images using Basis Functions Transformations

Authors: Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly Stanton, Yuval Kluger | Published: 2018-03-28 | Updated: 2018-04-16
Watermarking
Certified Robustness
Adversarial attack

Bypassing Feature Squeezing by Increasing Adversary Strength

Authors: Yash Sharma, Pin-Yu Chen | Published: 2018-03-27
Experimental Validation
Adversarial Learning
Adversarial attack

The Hidden Vulnerability of Distributed Learning in Byzantium

Authors: El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault | Published: 2018-02-22 | Updated: 2018-07-17
Poisoning
Adversarial attack
Machine Learning Method

Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning

Authors: Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar | Published: 2018-02-20
Poisoning
Adversarial Example Detection
Adversarial attack

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2018-02-19
Certified Robustness
Adversarial attack
Machine Learning Method

Are Generative Classifiers More Robust to Adversarial Attacks?

Authors: Yingzhen Li, John Bradshaw, Yash Sharma | Published: 2018-02-19 | Updated: 2019-05-27
Robustness Evaluation
Adversarial Learning
Adversarial attack

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks

Authors: Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli | Published: 2018-02-15 | Updated: 2018-06-12
Adversarial Learning
Adversarial Learning
Adversarial attack