Amplifying Machine Learning Attacks Through Strategic Compositions
Authors: Yugeng Liu, Zheng Li, Hai Huang, Michael Backes, Yang Zhang | Published: 2025-06-23
モデルの頑健性保証
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
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
Adversarial Surrogate Risk Bounds for Binary Classification
Authors: Natalie S. Frank | Published: 2025-06-11
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
LLM Unlearning Should Be Form-Independent
Authors: Xiaotian Ye, Mengqi Zhang, Shu Wu | Published: 2025-06-09
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Authors: Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki | Published: 2025-05-20
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
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
Authors: Greg Gluch, Shafi Goldwasser | Published: 2025-04-28 | Updated: 2025-07-10
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Authors: Ahod Alghuried, Ali Alkinoon, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, David Mohaisen | Published: 2025-04-24