Universal Adversarial Perturbations: A Survey
Authors: Ashutosh Chaubey, Nikhil Agrawal, Kavya Barnwal, Keerat K. Guliani, Pramod Mehta | Published: 2020-05-16
Loss Function
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data
Authors: Deepesh Data, Suhas Diggavi | Published: 2020-05-16
Data Heterogeneity Differential Privacy: From Theory to Algorithm
Authors: Yilin Kang, Jian Li, Yong Liu, Weiping Wang | Published: 2020-02-20 | Updated: 2023-01-28
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
Authors: Patrick von Platen, Fei Tao, Gokhan Tur | Published: 2020-02-16
Adversarial Distributional Training for Robust Deep Learning
Authors: Yinpeng Dong, Zhijie Deng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2020-02-14 | Updated: 2020-11-19
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness
Authors: Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li | Published: 2019-12-07 | Updated: 2020-12-04
On the Hardness of Robust Classification
Authors: Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell | Published: 2019-09-12
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
Authors: Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang | Published: 2019-07-30 | Updated: 2023-12-11
A Deep Learning Based Attack for The Chaos-based Image Encryption
Authors: Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang | Published: 2019-07-29
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