Designing Adversarially Resilient Classifiers using Resilient Feature Engineering
Authors: Kevin Eykholt, Atul Prakash | Published: 2018-12-17
ロバスト性
Trust Region Based Adversarial Attack on Neural Networks
Authors: Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | Published: 2018-12-16
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Authors: Nimesh Shah, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, Arindam Basu | Published: 2018-12-13
Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform
Authors: Mitali Bafna, Jack Murtagh, Nikhil Vyas | Published: 2018-12-12
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Authors: Vincent Tjeng, Kai Xiao, Russ Tedrake | Published: 2017-11-20 | Updated: 2019-02-18
Implicit Weight Uncertainty in Neural Networks
Authors: Nick Pawlowski, Andrew Brock, Matthew C. H. Lee, Martin Rajchl, Ben Glocker | Published: 2017-11-03 | Updated: 2018-05-25
Provable defenses against adversarial examples via the convex outer adversarial polytope
Authors: Eric Wong, J. Zico Kolter | Published: 2017-11-02 | Updated: 2018-06-08
Delving into adversarial attacks on deep policies
Authors: Jernej Kos, Dawn Song | Published: 2017-05-18
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Authors: Yudong Chen, Lili Su, Jiaming Xu | Published: 2017-05-16 | Updated: 2017-10-23
Extending Defensive Distillation
Authors: Nicolas Papernot, Patrick McDaniel | Published: 2017-05-15