Learning More Robust Features with Adversarial Training
Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
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A Study on Overfitting in Deep Reinforcement Learning
Authors: Chiyuan Zhang, Oriol Vinyals, Remi Munos, Samy Bengio | Published: 2018-04-18 | Updated: 2018-04-20
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Authors: Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau | Published: 2018-04-16 | Updated: 2019-05-01
Adversarial Attacks Against Medical Deep Learning Systems
Authors: Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam | Published: 2018-04-15 | Updated: 2019-02-04
On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples
Authors: Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu | Published: 2018-04-14 | Updated: 2018-05-09
Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques
Authors: Cengiz Kaygusuz, Leonardo Babun, Hidayet Aksu, A. Selcuk Uluagac | Published: 2018-04-13
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content
Authors: Joshua Saxe, Richard Harang, Cody Wild, Hillary Sanders | Published: 2018-04-13
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