A Grid Based Adversarial Clustering Algorithm
Authors: Wutao Wei, Nikhil Gupta, Bowei Xi | Published: 2018-04-13 | Updated: 2024-11-21
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Authors: Hyrum S. Anderson, Phil Roth | Published: 2018-04-12 | Updated: 2018-04-16
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Authors: Rohan Doshi, Noah Apthorpe, Nick Feamster | Published: 2018-04-11
IoTSense: Behavioral Fingerprinting of IoT Devices
Authors: Bruhadeshwar Bezawada, Maalvika Bachani, Jordan Peterson, Hossein Shirazi, Indrakshi Ray, Indrajit Ray | Published: 2018-04-11
Differentially Private Confidence Intervals for Empirical Risk Minimization
Authors: Yue Wang, Daniel Kifer, Jaewoo Lee | Published: 2018-04-11
Universal Successor Representations for Transfer Reinforcement Learning
Authors: Chen Ma, Junfeng Wen, Yoshua Bengio | Published: 2018-04-11
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Authors: Anish Athalye, Nicholas Carlini | Published: 2018-04-10
Adversarial Training Versus Weight Decay
Authors: Angus Galloway, Thomas Tanay, Graham W. Taylor | Published: 2018-04-10 | Updated: 2018-07-23
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
Authors: Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin | Published: 2018-04-09
The Challenges in SDN/ML Based Network Security : A Survey
Authors: Tam N. Nguyen | Published: 2018-04-08 | Updated: 2018-04-14