AIセキュリティポータルbot

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Authors: Yi Han, Benjamin I. P. Rubinstein | Published: 2017-04-06 | Updated: 2017-05-25
ポイズニング
モデルの頑健性保証
対抗的学習

Comment on “Biologically inspired protection of deep networks from adversarial attacks”

Authors: Wieland Brendel, Matthias Bethge | Published: 2017-04-05
トリガーの検知
モデルの頑健性保証
対抗的学習

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Authors: Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer | Published: 2017-03-31
オンラインマルウェア検出
動的分析手法
性能評価手法

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Authors: Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros | Published: 2017-03-30 | Updated: 2020-08-24
データ生成
ディープフェイク
画像処理

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be

Authors: Nan Zhang, Soteris Demetriou, Xianghang Mi, Wenrui Diao, Kan Yuan, Peiyuan Zong, Feng Qian, XiaoFeng Wang, Kai Chen, Yuan Tian, Carl A. Gunter, Kehuan Zhang, Patrick Tague, Yue-Hsun Lin | Published: 2017-03-28
IoTセキュリティ問題
セキュリティ分析手法
攻撃手法

Adversarial Source Identification Game with Corrupted Training

Authors: Mauro Barni, Benedetta Tondi | Published: 2017-03-27
セキュリティ分析
戦略的ゲーム
攻撃パターン抽出

Biologically inspired protection of deep networks from adversarial attacks

Authors: Aran Nayebi, Surya Ganguli | Published: 2017-03-27
モデルの設計や精度
モデルの頑健性保証
学習の改善

Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains

Authors: Tegjyot Singh Sethi, Mehmed Kantardzic | Published: 2017-03-23
性能評価
攻撃パターン抽出
敵対的サンプル

PriMaL: A Privacy-Preserving Machine Learning Method for Event Detection in Distributed Sensor Networks

Authors: Stefano Bennati, Catholijn M. Jonker | Published: 2017-03-21
イベント識別
プライバシー保護メカニズム
非中央集権的処理

CSI: A Hybrid Deep Model for Fake News Detection

Authors: Natali Ruchansky, Sungyong Seo, Yan Liu | Published: 2017-03-20 | Updated: 2017-09-03
データサイエンス手法
モデルの設計や精度
偽情報の検出