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
Privacy Technique
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
Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Authors: Mayar Elfares, Pascal Reisert, Ralf Küsters, Andreas Bulling | Published: 2025-07-01 | Updated: 2025-09-10
Everyone’s Privacy Matters! An Analysis of Privacy Leakage from Real-World Facial Images on Twitter and Associated User Behaviors
Authors: Yuqi Niu, Weidong Qiu, Peng Tang, Lifan Wang, Shuo Chen, Shujun Li, Nadin Kokciyan, Ben Niu | Published: 2025-01-20
A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers
Authors: Peng Tang, Xin Li, Yuxin Chen, Weidong Qiu, Haochen Mei, Allison Holmes, Fenghua Li, Shujun Li | Published: 2024-10-07
Adaptively Private Next-Token Prediction of Large Language Models
Authors: James Flemings, Meisam Razaviyayn, Murali Annavaram | Published: 2024-10-02
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
Authors: Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk | Published: 2024-09-30 | Updated: 2024-10-12
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Authors: Jessica Smith, David Williams, Emily Brown | Published: 2024-09-16
SoK: Memorisation in machine learning
Authors: Dmitrii Usynin, Moritz Knolle, Georgios Kaissis | Published: 2023-11-06
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
Authors: Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong | Published: 2023-10-31 | Updated: 2023-12-05