Stronger and Faster Wasserstein Adversarial Attacks Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06 ウォーターマーキング敵対的学習敵対的攻撃 2020.08.06 2025.04.03 文献データベース
Training DNN Model with Secret Key for Model Protection Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06 ウォーターマーキング敵対的学習機械学習 2020.08.06 2025.04.03 文献データベース
On the relationship between class selectivity, dimensionality, and robustness Authors: Matthew L. Leavitt, Ari S. Morcos | Published: 2020-07-08 | Updated: 2020-10-13 ポイズニング敵対的学習脆弱性分析 2020.07.08 2025.04.03 文献データベース
How benign is benign overfitting? Authors: Amartya Sanyal, Puneet K Dokania, Varun Kanade, Philip H. S. Torr | Published: 2020-07-08 敵対的サンプル敵対的学習過剰適合と記憶化 2020.07.08 2025.04.03 文献データベース
Defending against Backdoors in Federated Learning with Robust Learning Rate Authors: Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel | Published: 2020-07-07 | Updated: 2021-07-29 バックドア攻撃敵対的学習防御メカニズム 2020.07.07 2025.04.03 文献データベース
Backdoor attacks and defenses in feature-partitioned collaborative learning Authors: Yang Liu, Zhihao Yi, Tianjian Chen | Published: 2020-07-07 ポイズニング敵対的学習防御メカニズム 2020.07.07 2025.04.03 文献データベース
Stochastic Linear Bandits Robust to Adversarial Attacks Authors: Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett | Published: 2020-07-07 | Updated: 2020-10-27 不確実性の定量化敵対的学習計算効率 2020.07.07 2025.04.03 文献データベース
Robust Learning with Frequency Domain Regularization Authors: Weiyu Guo, Yidong Ouyang | Published: 2020-07-07 敵対的学習機械学習の基礎計算効率 2020.07.07 2025.04.03 文献データベース
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Authors: Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem | Published: 2020-07-07 | Updated: 2020-07-18 攻撃パターン抽出敵対的サンプル敵対的学習 2020.07.07 2025.04.03 文献データベース
Black-box Adversarial Example Generation with Normalizing Flows Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-06 敵対的学習生成モデルの課題計算効率 2020.07.06 2025.04.03 文献データベース