モデルの頑健性保証

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection

Authors: Jan Lum Fok, Qingwen Zeng, Shiping Chen, Oscar Fawkes, Huaming Chen | Published: 2025-08-20
モデルの頑健性保証
ロバスト性向上手法
評価手法

Amplifying Machine Learning Attacks Through Strategic Compositions

Authors: Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Yang Zhang | Published: 2025-06-23
メンバーシップ開示リスク
モデルの頑健性保証
敵対的攻撃

Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017

Authors: Zhaoyang Xu, Yunbo Liu | Published: 2025-06-23 | Updated: 2025-08-11
モデルの頑健性保証
性能評価手法
異常検知手法

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?

Authors: Francesco Marchiori, Marco Alecci, Luca Pajola, Mauro Conti | Published: 2025-06-23
モデルアーキテクチャ
モデルの頑健性保証
敵対的攻撃分析

Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework

Authors: Xia Du, Xiaoyuan Liu, Jizhe Zhou, Zheng Lin, Chi-man Pun, Zhe Chen, Wei Ni, Jun Luo | Published: 2025-06-12
モデルの頑健性保証
敵対的学習
敵対的攻撃検出

Adversarial Surrogate Risk Bounds for Binary Classification

Authors: Natalie S. Frank | Published: 2025-06-11
モデルの頑健性保証
収束解析
関数境界ペア形成

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability

Authors: Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou | Published: 2025-06-09
モデルの頑健性保証
ロバスト最適化
敵対的攻撃手法

LLM Unlearning Should Be Form-Independent

Authors: Xiaotian Ye, Mengqi Zhang, Shu Wu | Published: 2025-06-09
トレーニング手法
モデルの頑健性保証
非意味的リダイレクション

Adversarially Pretrained Transformers may be Universally Robust In-Context Learners

Authors: Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki | Published: 2025-05-20
モデルの頑健性保証
ロバスト性とプライバシーの関係
敵対的学習

Quantum Support Vector Regression for Robust Anomaly Detection

Authors: Kilian Tscharke, Maximilian Wendlinger, Sebastian Issel, Pascal Debus | Published: 2025-05-02 | Updated: 2025-05-13
モデルの頑健性保証
異常検出手法
量子機械学習の役割