Regularized Ensembles and Transferability in Adversarial Learning
Authors: Yifan Chen, Yevgeniy Vorobeychik | Published: 2018-12-05
モデルの頑健性保証
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Authors: Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li | Published: 2018-12-05 | Updated: 2020-01-20
FineFool: Fine Object Contour Attack via Attention
Authors: Jinyin Chen, Haibin Zheng, Hui Xiong, Mengmeng Su | Published: 2018-12-01
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Authors: Siddique Latif, Rajib Rana, Junaid Qadir | Published: 2018-11-28 | Updated: 2018-12-30
Regularized adversarial examples for model interpretability
Authors: Yoel Shoshan, Vadim Ratner | Published: 2018-11-18 | Updated: 2018-11-21
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Authors: Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-04 | Updated: 2020-05-14
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
Authors: Davide Maiorca, Battista Biggio, Giorgio Giacinto | Published: 2018-11-02 | Updated: 2020-04-14
Rademacher Complexity for Adversarially Robust Generalization
Authors: Dong Yin, Kannan Ramchandran, Peter Bartlett | Published: 2018-10-29 | Updated: 2020-07-29
Towards Robust Deep Neural Networks
Authors: Timothy E. Wang, Yiming Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal | Published: 2018-10-27 | Updated: 2018-12-04
Evading classifiers in discrete domains with provable optimality guarantees
Authors: Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso | Published: 2018-10-25 | Updated: 2019-07-01