Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
Authors: Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon | Published: 2025-10-16
差分プライバシー
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
Authors: Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng | Published: 2025-09-22
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Authors: Ozer Ozturk, Busra Buyuktanir, Gozde Karatas Baydogmus, Kazim Yildiz | Published: 2025-09-17
Privacy-Aware In-Context Learning for Large Language Models
Authors: Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha | Published: 2025-09-17
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Authors: Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu | Published: 2025-09-16
DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
Authors: Honghui Xu, Shiva Shrestha, Wei Chen, Zhiyuan Li, Zhipeng Cai | Published: 2025-09-11
Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
Authors: Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu | Published: 2025-09-11
A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
Authors: Napsu Karmitsa, Antti Airola, Tapio Pahikkala, Tinja Pitkämäki | Published: 2025-09-03
The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
Authors: Stephen Meisenbacher, Alexandra Klymenko, Andreea-Elena Bodea, Florian Matthes | Published: 2025-08-26
SoK: Data Minimization in Machine Learning
Authors: Robin Staab, Nikola Jovanović, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski | Published: 2025-08-14