Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Authors: Moritz Seiler, Heike Trautmann, Pascal Kerschke | Published: 2020-05-27
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Authors: Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos | Published: 2020-05-27
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Authors: Matthew DelVecchio, Bryse Flowers, William C. Headley | Published: 2020-05-27
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation
Authors: Nilufer Tuptuk, Stephen Hailes | Published: 2020-05-27
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
Authors: Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang | Published: 2020-05-26 | Updated: 2020-08-17
A Protection against the Extraction of Neural Network Models
Authors: Hervé Chabanne, Vincent Despiegel, Linda Guiga | Published: 2020-05-26 | Updated: 2020-07-31
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Authors: Shuhan Yuan, Xintao Wu | Published: 2020-05-25
Keyed Non-Parametric Hypothesis Tests
Authors: Yao Cheng, Cheng-Kang Chu, Hsiao-Ying Lin, Marius Lombard-Platet, David Naccache | Published: 2020-05-25
Adversarial Feature Selection against Evasion Attacks
Authors: Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli | Published: 2020-05-25
Malware Detection at the Microarchitecture Level using Machine Learning Techniques
Authors: Abigail Kwan | Published: 2020-05-25