ベイズ分類

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach

Authors: Michael Potter, Murat Akcakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba | Published: 2024-02-28 | Updated: 2024-08-16
トレーニングデータ生成
ベイズ分類
機械学習手法

Federated Bayesian Network Ensembles

Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2024-02-19
ベイズ分類
モデル設計
連合学習

Learner-Private Convex Optimization

Authors: Jiaming Xu, Kuang Xu, Dana Yang | Published: 2021-02-23 | Updated: 2021-10-23
データ収集
データ生成
ベイズ分類

Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks

Authors: Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi | Published: 2021-02-22 | Updated: 2022-05-05
ベイズ分類
ポイズニング
敵対的サンプル

Swipe dynamics as a means of authentication: results from a Bayesian unsupervised approach

Authors: Parker Lamb, Alexander Millar, Ramon Fuentes | Published: 2020-07-27 | Updated: 2020-10-13
ベイズ分類
ユーザー行動の変化
機械学習

Classifier-independent Lower-Bounds for Adversarial Robustness

Authors: Elvis Dohmatob | Published: 2020-06-17 | Updated: 2020-11-10
ベイズ分類
攻撃手法
敵対的学習

Provable Robust Classification via Learned Smoothed Densities

Authors: Saeed Saremi, Rupesh Srivastava | Published: 2020-05-09
ベイズ分類
ポイズニング
ロバスト性向上手法

Estimating g-Leakage via Machine Learning

Authors: Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida | Published: 2020-05-09 | Updated: 2021-11-24
ベイズ分類
機械学習の役割
脆弱性評価手法

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07
ベイズ分類
ポイズニング
敵対的サンプル