MEADE: Towards a Malicious Email Attachment Detection Engine
Authors: Ethan M. Rudd, Richard Harang, Joshua Saxe | Published: 2018-04-22
Is feature selection secure against training data poisoning?
Authors: Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert, Fabio Roli | Published: 2018-04-21
Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size
Authors: Ian Goodfellow | Published: 2018-04-21
Learning More Robust Features with Adversarial Training
Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
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