Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Authors: Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein | Published: 2018-04-03 | Updated: 2018-11-10
Resilient Non-Submodular Maximization over Matroid Constraints
Authors: Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas | Published: 2018-04-02 | Updated: 2018-12-06
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Authors: Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li | Published: 2018-04-01 | Updated: 2021-09-28
Adversarial Attacks and Defences Competition
Authors: Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe | Published: 2018-03-31
Two-Stream Neural Networks for Tampered Face Detection
Authors: Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis | Published: 2018-03-29
Protection against Cloning for Deep Learning
Authors: Richard Kenway | Published: 2018-03-29
Defending against Adversarial Images using Basis Functions Transformations
Authors: Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly Stanton, Yuval Kluger | Published: 2018-03-28 | Updated: 2018-04-16
You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
Authors: Beatrice Perez, Mirco Musolesi, Gianluca Stringhini | Published: 2018-03-27 | Updated: 2018-05-14
Privacy Preserving Machine Learning: Threats and Solutions
Authors: Mohammad Al-Rubaie, J. Morris Chang | Published: 2018-03-27
Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
Authors: Pierre Dellenbach, Aurélien Bellet, Jan Ramon | Published: 2018-03-27