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
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
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Authors: Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Ling-Yu Duan, Alex C. Kot, Xudong Jiang | Published: 2025-03-01 | Updated: 2025-04-03
Combining Machine Learning Defenses without Conflicts
Authors: Vasisht Duddu, Rui Zhang, N. Asokan | Published: 2024-11-14 | Updated: 2025-08-14
Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
Authors: Md Hasan Shahriar, Ning Wang, Naren Ramakrishnan, Y. Thomas Hou, Wenjing Lou | Published: 2024-06-18 | Updated: 2025-04-14
LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
Authors: Shoupeng Ren, Lipeng He, Tianyu Tu, Di Wu, Jian Liu, Kui Ren, Chun Chen | Published: 2024-01-14 | Updated: 2025-04-02