Understanding and Enhancing the Transferability of Adversarial Examples
Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27
Literature Database
Robust GANs against Dishonest Adversaries
Authors: Zhi Xu, Chengtao Li, Stefanie Jegelka | Published: 2018-02-27 | Updated: 2019-10-10
On the Suitability of $L_p$-norms for Creating and Preventing Adversarial Examples
Authors: Mahmood Sharif, Lujo Bauer, Michael K. Reiter | Published: 2018-02-27 | Updated: 2018-07-27
Yedrouj-Net: An efficient CNN for spatial steganalysis
Authors: Mehdi Yedroudj, Frederic Comby, Marc Chaumont | Published: 2018-02-26
Scalable Private Learning with PATE
Authors: Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Úlfar Erlingsson | Published: 2018-02-24
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Authors: Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song | Published: 2018-02-22 | Updated: 2019-07-16
Asynchronous Byzantine Machine Learning (the case of SGD)
Authors: Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki | Published: 2018-02-22 | Updated: 2018-07-09
The Hidden Vulnerability of Distributed Learning in Byzantium
Authors: El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault | Published: 2018-02-22 | Updated: 2018-07-17
Adversarial Training for Probabilistic Spiking Neural Networks
Authors: Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran | Published: 2018-02-22 | Updated: 2018-02-26
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Authors: Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar | Published: 2018-02-20