敵対的学習

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Authors: Ying Meng, Jianhai Su, Jason O'Kane, Pooyan Jamshidi | Published: 2020-01-02 | Updated: 2020-10-16
敵対的学習
透かし評価
防御手法の効果分析

Face X-ray for More General Face Forgery Detection

Authors: Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo | Published: 2019-12-31 | Updated: 2020-04-19
アルゴリズム
ディープフェイクの検知
敵対的学習

Adversarial Example Generation using Evolutionary Multi-objective Optimization

Authors: Takahiro Suzuki, Shingo Takeshita, Satoshi Ono | Published: 2019-12-30
効果的な摂動手法
多目的最適化
敵対的学習

Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

Authors: Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis | Published: 2019-12-29 | Updated: 2021-02-03
SGDの特性
ロバスト性に関する評価
敵対的学習

Cyber Situation Awareness with Active Learning for Intrusion Detection

Authors: Steven McElwee, James Cannady | Published: 2019-12-29
モデル選択手法
敵対的学習
自動化された侵入検知システム

secml: A Python Library for Secure and Explainable Machine Learning

Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13
ポイズニング
敵対的学習
透かし評価

Explainability and Adversarial Robustness for RNNs

Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19
攻撃の分類
敵対的学習
防御手法の効果分析

Random CapsNet Forest Model for Imbalanced Malware Type Classification Task

Authors: Aykut Çayır, Uğur Ünal, Hasan Dağ | Published: 2019-12-20 | Updated: 2020-08-23
敵対的学習
深層学習
透かし評価

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations

Authors: Jeet Mohapatra, Tsui-Wei, Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2019-12-19 | Updated: 2020-06-15
ロバスト性に関する評価
敵対的学習
深層学習

SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks

Authors: Simon Msika, Alejandro Quintero, Foutse Khomh | Published: 2019-12-18
ハイブリッドアルゴリズム
敵対的学習
自動化された侵入検知システム