文献データベース

t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

Authors: Tomi Kinnunen, Kong Aik Lee, Hector Delgado, Nicholas Evans, Massimiliano Todisco, Md Sahidullah, Junichi Yamagishi, Douglas A. Reynolds | Published: 2018-04-25 | Updated: 2019-04-11
性能評価手法
透かし技術
音声認識システムのセキュリティ

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

Authors: Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach | Published: 2018-04-23 | Updated: 2020-10-03
クエリ生成手法
モデルの頑健性保証
敵対的攻撃手法

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
モデル抽出攻撃
敵対的サンプル
敵対的攻撃手法

MEADE: Towards a Malicious Email Attachment Detection Engine

Authors: Ethan M. Rudd, Richard Harang, Joshua Saxe | Published: 2018-04-22
サイバーセキュリティ
攻撃手法
敵対的サンプルの検知

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
ポイズニング
毒データの検知
毒性攻撃に特化した内容

Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size

Authors: Ian Goodfellow | Published: 2018-04-21
敵対的学習
敵対的攻撃手法
透かし技術

Learning More Robust Features with Adversarial Training

Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
対抗的学習
敵対的学習
透かし技術

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
トレーニング手法
一般化性能
強化学習最適化

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
モデルの頑健性保証
敵対的攻撃手法

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
敵対的学習
敵対的攻撃分析
深層学習