Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
Authors: Mathias Lecuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen | Published: 2017-05-21
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Ensemble Adversarial Training: Attacks and Defenses
Authors: Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-05-19 | Updated: 2020-04-26
Delving into adversarial attacks on deep policies
Authors: Jernej Kos, Dawn Song | Published: 2017-05-18
A lightweight MapReduce framework for secure processing with SGX
Authors: Rafael Pires, Daniel Gavril, Pascal Felber, Emanuel Onica, Marcelo Pasin | Published: 2017-05-16
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Authors: Yudong Chen, Lili Su, Jiaming Xu | Published: 2017-05-16 | Updated: 2017-10-23
Extending Defensive Distillation
Authors: Nicolas Papernot, Patrick McDaniel | Published: 2017-05-15
Musical Instrument Recognition Using Their Distinctive Characteristics in Artificial Neural Networks
Authors: Babak Toghiani-Rizi, Marcus Windmark | Published: 2017-05-14
PerfWeb: How to Violate Web Privacy with Hardware Performance Events
Authors: Berk Gulmezoglu, Andreas Zankl, Thomas Eisenbarth, Berk Sunar | Published: 2017-05-12
Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter
Authors: Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali | Published: 2017-05-09
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Authors: Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau | Published: 2017-05-08