Explainable and Resilient ML-Based Physical-Layer Attack Detectors
Authors: Aleksandra Knapińska, Marija Furdek | Published: 2025-09-30
モデルインバージョン
LLM Watermark Evasion via Bias Inversion
Authors: Jeongyeon Hwang, Sangdon Park, Jungseul Ok | Published: 2025-09-27 | Updated: 2025-10-01
ENSI: Efficient Non-Interactive Secure Inference for Large Language Models
Authors: Zhiyu He, Maojiang Wang, Xinwen Gao, Yuchuan Luo, Lin Liu, Shaojing Fu | Published: 2025-09-11
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline
Authors: Tyler Shumaker, Jessica Carpenter, David Saranchak, Nathaniel D. Bastian | Published: 2025-09-04
AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
Authors: Anthony M. Barrett, Jessica Newman, Brandie Nonnecke, Nada Madkour, Dan Hendrycks, Evan R. Murphy, Krystal Jackson, Deepika Raman | Published: 2025-06-30
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
Authors: Xin Fan Guo, Albert Merono Penuela, Sergio Maffeis, Fabio Pierazzi | Published: 2025-06-24
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
Authors: Kalindi Singh, Aayush Kashyap, Aswani Kumar Cherukuri | Published: 2025-05-22
PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
Authors: Xin Yang, Omid Ardakanian | Published: 2024-12-19 | Updated: 2025-08-05
Language Model Inversion
Authors: John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush | Published: 2023-11-22
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
Authors: Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao Shen | Published: 2023-10-18 | Updated: 2025-09-16