CIPL: A Target-Independent Framework for Channel-Inversion Privacy Leakage in Agents
Authors: Tao Huang, Chen Hou, Jiayang Meng | Published: 2026-03-24
Model Inversion
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
Authors: Wen Xu, Zhetao Li, Yong Xiao, Pengpeng Qiao, Mianxiong Dong, Kaoru Ota | Published: 2026-02-09
UnPII: Unlearning Personally Identifiable Information with Quantifiable Exposure Risk
Authors: Intae Jeon, Yujeong Kwon, Hyungjoon Koo | Published: 2026-01-05
Model Inversion Attacks Meet Cryptographic Fuzzy Extractors
Authors: Mallika Prabhakar, Louise Xu, Prateek Saxena | Published: 2025-10-29
Explainable and Resilient ML-Based Physical-Layer Attack Detectors
Authors: Aleksandra Knapińska, Marija Furdek | Published: 2025-09-30
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