敵対的攻撃

Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks

Authors: Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen | Published: 2018-02-14 | Updated: 2018-03-19
モデルの頑健性保証
敵対的サンプル
敵対的攻撃

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection

Authors: Andrea Paudice, Luis Muñoz-González, Andras Gyorgy, Emil C. Lupu | Published: 2018-02-08
ポイズニング
敵対的攻撃
毒データの検知

A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines

Authors: Rui Zhang, Quanyan Zhu | Published: 2018-02-07
マルチオブジェクティブ最適化
敵対的攻撃
機械学習手法

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Authors: Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel | Published: 2018-01-31
モデルの頑健性保証
ロバスト性評価
敵対的攻撃

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Authors: Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth | Published: 2018-01-26 | Updated: 2018-01-30
強化学習手法
敵対的攻撃
機械学習手法

Sparsity-based Defense against Adversarial Attacks on Linear Classifiers

Authors: Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-01-15 | Updated: 2018-06-19
スパース性防御
敵対的学習
敵対的攻撃

LatentPoison – Adversarial Attacks On The Latent Space

Authors: Antonia Creswell, Anil A. Bharath, Biswa Sengupta | Published: 2017-11-08
ポイズニング
モデルの頑健性保証
敵対的攻撃

Intriguing Properties of Adversarial Examples

Authors: Ekin D. Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le | Published: 2017-11-08
敵対的サンプル
敵対的学習
敵対的攻撃