AIセキュリティポータルbot

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Authors: Francesco Croce, Matthias Hein | Published: 2019-07-03 | Updated: 2020-07-20
ポイズニング
敵対的サンプルの脆弱性
敵対的攻撃

A Bayesian Hierarchical Model for Criminal Investigations

Authors: F. O. Bunnin, J. Q. Smith | Published: 2019-07-03 | Updated: 2019-11-05
タスク設計
データ抽出と分析
情報収集手法

Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification

Authors: Ba Dung Le, Guanhua Wang, Mehwish Nasim, Ali Babar | Published: 2019-07-03 | Updated: 2019-09-05
サイバーセキュリティの自動化
データ抽出と分析
情報収集手法

MimosaNet: An Unrobust Neural Network Preventing Model Stealing

Authors: Kálmán Szentannai, Jalal Al-Afandi, András Horváth | Published: 2019-07-02
DNN IP保護手法
敵対的攻撃
深層学習手法

Protecting Privacy of Users in Brain-Computer Interface Applications

Authors: Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento | Published: 2019-07-02
セキュアなロジスティック回帰
プライバシー保護
機械学習フレームワーク

Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts

Authors: Xiaoyu Du, Mark Scanlon | Published: 2019-07-02
データ抽出と分析
機械学習フレームワーク
研究方法論

Treant: Training Evasion-Aware Decision Trees

Authors: Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando | Published: 2019-07-02 | Updated: 2019-07-03
敵対的攻撃
最適化戦略
機械学習フレームワーク

Accurate, reliable and fast robustness evaluation

Authors: Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge | Published: 2019-07-01 | Updated: 2019-12-12
敵対的攻撃
最適化戦略
深層学習手法

Comment on “Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network”

Authors: Roland S. Zimmermann | Published: 2019-07-01
ポイズニング
敵対的攻撃
深層学習手法

System Misuse Detection via Informed Behavior Clustering and Modeling

Authors: Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp | Published: 2019-07-01
データ抽出と分析
機械学習フレームワーク
異常検出手法