ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-04-17
Defensive Quantization: When Efficiency Meets Robustness
Authors: Ji Lin, Chuang Gan, Song Han | Published: 2019-04-17
Adversarial Defense Through Network Profiling Based Path Extraction
Authors: Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu | Published: 2019-04-17 | Updated: 2019-05-09
Helping IT and OT Defenders Collaborate
Authors: Glenn A. Fink, Penny McKenzie | Published: 2019-04-16
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Authors: Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim | Published: 2019-04-15
CryptoNN: Training Neural Networks over Encrypted Data
Authors: Runhua Xu, James B. D. Joshi, Chao Li | Published: 2019-04-15 | Updated: 2019-04-26
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
Authors: David J. Miller, Zhen Xiang, George Kesidis | Published: 2019-04-12 | Updated: 2019-12-02
On Machine Learning DoS Attack Identification from Cloud Computing Telemetry
Authors: João Henrique Corrêa, Patrick Marques Ciarelli, Moises R. N. Ribeiro, Rodolfo da Silva Villaca | Published: 2019-04-11
STC Antispoofing Systems for the ASVspoof2019 Challenge
Authors: Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov | Published: 2019-04-11
Universal Lipschitz Approximation in Bounded Depth Neural Networks
Authors: Jeremy E. J. Cohen, Todd Huster, Ra Cohen | Published: 2019-04-09