SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
Authors: Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes | Published: 2026-01-07
Privacy Enhancing Technology
Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
Authors: Yuetian Chen, Yuntao Du, Kaiyuan Zhang, Ashish Kundu, Charles Fleming, Bruno Ribeiro, Ninghui Li | Published: 2026-01-06
UnPII: Unlearning Personally Identifiable Information with Quantifiable Exposure Risk
Authors: Intae Jeon, Yujeong Kwon, Hyungjoon Koo | Published: 2026-01-05
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
Authors: N Mangala, Murtaza Rangwala, S Aishwarya, B Eswara Reddy, Rajkumar Buyya, KR Venugopal, SS Iyengar, LM Patnaik | Published: 2025-12-11
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Authors: Yang Zhuochen, Fok Kar Wai, Thing Vrizlynn | Published: 2025-10-13
Secret-Protected Evolution for Differentially Private Synthetic Text Generation
Authors: Tianze Wang, Zhaoyu Chen, Jian Du, Yingtai Xiao, Linjun Zhang, Qiang Yan | Published: 2025-10-13
Quantifying Information Disclosure During Gradient Descent Using Gradient Uniqueness
Authors: Mahmoud Abdelghafar, Maryam Aliakbarpour, Chris Jermaine | Published: 2025-10-13
Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
Authors: Xinjie Shen, Mufei Li, Pan Li | Published: 2025-09-27 | Updated: 2025-10-13
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Authors: Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu | Published: 2025-06-12
Can We Infer Confidential Properties of Training Data from LLMs?
Authors: Penguin Huang, Chhavi Yadav, Ruihan Wu, Kamalika Chaudhuri | Published: 2025-06-12