It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Authors: Peiyu Xiong, Michael Tegegn, Jaskeerat Singh Sarin, Shubhraneel Pal, Julia Rubin | Published: 2023-03-17 | Updated: 2023-10-17
Fundamentals of Machine Learning
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks
Authors: Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi, Mohammad Hammoudeh, Hadis Karimipour, Gautam Srivastava | Published: 2022-04-21
Predicting Process Name from Network Data
Authors: Justin Allen, David Knapp, Kristine Monteith | Published: 2021-09-03
Robust Learning with Frequency Domain Regularization
Authors: Weiyu Guo, Yidong Ouyang | Published: 2020-07-07
Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach
Authors: Hu Ding, Fan Yang, Jiawei Huang | Published: 2020-06-14 | Updated: 2021-02-20
Rethinking Clustering for Robustness
Authors: Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem | Published: 2020-06-13 | Updated: 2021-11-19
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
Authors: Richard Y. Zhang | Published: 2020-06-11 | Updated: 2020-10-26
Approximating Lipschitz continuous functions with GroupSort neural networks
Authors: Ugo Tanielian, Maxime Sangnier, Gerard Biau | Published: 2020-06-09 | Updated: 2021-02-08
On Universalized Adversarial and Invariant Perturbations
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08