ロバスト性評価

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits

Authors: Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett | Published: 2022-02-03 | Updated: 2022-03-28
アルゴリズム設計
ロバスト性評価
収束分析

A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs

Authors: Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang | Published: 2021-12-28 | Updated: 2022-06-04
アルゴリズム設計
ロバスト性評価
敵対的攻撃手法

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy

Authors: Xiaolan Gu, Ming Li, Li Xiong | Published: 2021-10-22
プライバシー保護
ポイズニング
ロバスト性評価

Understanding Intrinsic Robustness Using Label Uncertainty

Authors: Xiao Zhang, David Evans | Published: 2021-07-07 | Updated: 2022-03-17
ガウス混合モデル
ラベル不確実性
ロバスト性評価

On the (Un-)Avoidability of Adversarial Examples

Authors: Sadia Chowdhury, Ruth Urner | Published: 2021-06-24
ロバスト性評価
敵対的サンプル
機械学習アルゴリズム

How Does Mixup Help With Robustness and Generalization?

Authors: Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou | Published: 2020-10-09 | Updated: 2021-03-17
ポイズニング
ロバスト性評価
一般化性能

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings

Authors: Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra | Published: 2020-10-03
ロバスト性評価
敵対的摂動手法
機械学習手法

Do Wider Neural Networks Really Help Adversarial Robustness?

Authors: Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu | Published: 2020-10-03 | Updated: 2021-08-14
ロバスト性評価
敵対的サンプル
深層学習技術

CorrAttack: Black-box Adversarial Attack with Structured Search

Authors: Zhichao Huang, Yaowei Huang, Tong Zhang | Published: 2020-10-03
ロバスト性評価
深層学習手法
特徴選択手法

Query complexity of adversarial attacks

Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2020-10-02 | Updated: 2021-02-10
ロバスト性評価
深層学習手法
計算複雑性