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
Attacking Machine Learning models as part of a cyber kill chain
Authors: Tam N. Nguyen | Published: 2017-05-01 | Updated: 2018-04-07
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
Authors: Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli | Published: 2017-04-28
Intrusion Prevention and Detection in Grid Computing – The ALICE Case
Authors: Andres Gomez, Camilo Lara, Udo Kebschull | Published: 2017-04-20
Robust Smartphone App Identification Via Encrypted Network Traffic Analysis
Authors: Vincent F. Taylor, Riccardo Spolaor, Mauro conti, Ivan Martinovic | Published: 2017-04-20
Semi-supervised classification for dynamic Android malware detection
Authors: Li Chen, Mingwei Zhang, Chih-Yuan Yang, Ravi Sahita | Published: 2017-04-19
Universal Adversarial Perturbations Against Semantic Image Segmentation
Authors: Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer | Published: 2017-04-19 | Updated: 2017-07-31
Morpheo: Traceable Machine Learning on Hidden data
Authors: Mathieu Galtier, Camille Marini | Published: 2017-04-17
A Security Monitoring Framework For Virtualization Based HEP Infrastructures
Authors: A. Gomez Ramirez, M. Martinez Pedreira, C. Grigoras, L. Betev, C. Lara, U. Kebschull | Published: 2017-04-16
The Space of Transferable Adversarial Examples
Authors: Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-04-11 | Updated: 2017-05-23