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
Poisoning
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 Defense based on Structure-to-Signal Autoencoders
Authors: Joachim Folz, Sebastian Palacio, Joern Hees, Damian Borth, Andreas Dengel | Published: 2018-03-21
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
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Authors: Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar | Published: 2018-02-20
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Authors: Andrea Paudice, Luis Muñoz-González, Andras Gyorgy, Emil C. Lupu | Published: 2018-02-08
Query-Efficient Black-box Adversarial Examples (superceded)
Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2017-12-19 | Updated: 2018-04-06
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Authors: Battista Biggio, Fabio Roli | Published: 2017-12-08 | Updated: 2018-07-19
LatentPoison – Adversarial Attacks On The Latent Space
Authors: Antonia Creswell, Anil A. Bharath, Biswa Sengupta | Published: 2017-11-08
Practical Attacks Against Graph-based Clustering
Authors: Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou | Published: 2017-08-29