Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Authors: Yanyao Shen, Sujay Sanghavi | Published: 2018-10-28 | Updated: 2019-02-18
Robust Audio Adversarial Example for a Physical Attack
Authors: Hiromu Yakura, Jun Sakuma | Published: 2018-10-28 | Updated: 2019-08-19
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
Authors: Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh | Published: 2018-10-28 | Updated: 2019-02-27
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
Law and Adversarial Machine Learning
Authors: Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen | Published: 2018-10-25 | Updated: 2018-12-05
Robust Adversarial Learning via Sparsifying Front Ends
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-10-24 | Updated: 2021-05-25
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Authors: Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos | Published: 2018-10-23
Sparse DNNs with Improved Adversarial Robustness
Authors: Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen | Published: 2018-10-23 | Updated: 2019-11-06