Literature Database

Black-box Adversarial Attacks with Limited Queries and Information

Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2018-04-23 | Updated: 2018-07-11
Model Extraction Attack
Adversarial Example
Adversarial Attack Methods

MEADE: Towards a Malicious Email Attachment Detection Engine

Authors: Ethan M. Rudd, Richard Harang, Joshua Saxe | Published: 2018-04-22
Cybersecurity
Attack Method
Adversarial Example Detection

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
Poisoning
Detection of Poisonous Data
Content Specialized for Toxicity Attacks

Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size

Authors: Ian Goodfellow | Published: 2018-04-21
Adversarial Learning
Adversarial Attack Methods
Watermarking Technology

Learning More Robust Features with Adversarial Training

Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
Adversarial Learning
Adversarial Learning
Watermarking Technology

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
Training Method
Generalization Performance
Reinforcement Learning Optimization

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
Faster R-CNN
Certified Robustness
Adversarial Attack Methods

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
Adversarial Learning
Adversarial Attack Analysis
Deep Learning

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
Adversarial Example Detection
Adversarial Attack Methods
Watermarking Technology

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
FDI Attack Detection Methods
Performance Evaluation
Anomaly Detection Method