Adversarial Learning

Trust Region Based Adversarial Attack on Neural Networks

Authors: Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | Published: 2018-12-16
Certified Robustness
Robustness
Adversarial Learning

Prior Networks for Detection of Adversarial Attacks

Authors: Andrey Malinin, Mark Gales | Published: 2018-12-06
Detection of Model Extraction Attacks
Robustness Evaluation
Adversarial Learning

On Configurable Defense against Adversarial Example Attacks

Authors: Bo Luo, Min Li, Yu Li, Qiang Xu | Published: 2018-12-06
Adversarial Example
Adversarial Learning
Defense Method

Model-Reuse Attacks on Deep Learning Systems

Authors: Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2018-12-02
Model Extraction Attack
Detection of Model Extraction Attacks
Adversarial Learning

Robust Classification of Financial Risk

Authors: Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer | Published: 2018-11-27
Model Performance Evaluation
Robustness Improvement
Adversarial Learning

Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition

Authors: Jenn-Bing Ong, Wee-Keong Ng, C. -C. Jay Kuo | Published: 2018-11-20 | Updated: 2018-12-11
Robust Classification
Adversarial Learning
Defense Method

Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples

Authors: Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki | Published: 2018-11-20
Robustness Improvement
Adversarial Learning
Defense Method

AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning

Authors: Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh | Published: 2018-11-08 | Updated: 2019-08-26
Poisoning
Malicious Content Generation
Adversarial Learning

MixTrain: Scalable Training of Verifiably Robust Neural Networks

Authors: Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana | Published: 2018-11-06 | Updated: 2018-12-01
Model Performance Evaluation
Robustness Improvement
Adversarial Learning

Learning to Defend by Learning to Attack

Authors: Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao | Published: 2018-11-03 | Updated: 2021-05-02
Online Learning
Robust Optimization
Adversarial Learning