データ汚染検出

Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests

Authors: Sean Kulinski, Saurabh Bagchi, David I. Inouye | Published: 2021-07-14
データ汚染検出
概念ドリフト
統計的検定

Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks

Authors: Qin Ding, Cho-Jui Hsieh, James Sharpnack | Published: 2021-06-05 | Updated: 2023-01-30
データ汚染検出
敵対的攻撃
脆弱性評価手法

Gradient-based Data Subversion Attack Against Binary Classifiers

Authors: Rosni K Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha | Published: 2021-05-31
データ汚染検出
ポイズニング
最適化手法

DeepMoM: Robust Deep Learning With Median-of-Means

Authors: Shih-Ting Huang, Johannes Lederer | Published: 2021-05-28 | Updated: 2021-11-08
データ汚染検出
収束保証
最適化手法

Fooling Partial Dependence via Data Poisoning

Authors: Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek | Published: 2021-05-26 | Updated: 2022-07-10
データ汚染検出
ポイズニング
脆弱性評価手法

GraphSAC: Detecting anomalies in large-scale graphs

Authors: Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis | Published: 2019-10-21
グラフ表現学習
データ汚染検出
性能評価

CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection

Authors: Ayush Hariharan, Ankit Gupta, Trisha Pal | Published: 2019-07-23
MLベースのIDS
サイバー脅威
データ汚染検出

A Grid Based Adversarial Clustering Algorithm

Authors: Wutao Wei, Nikhil Gupta, Bowei Xi | Published: 2018-04-13 | Updated: 2024-11-21
データ汚染検出
敵対的攻撃分析
異常検知手法