Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Authors: Fardin Jalil Piran, Zhiling Chen, Mohsen Imani, Farhad Imani | Published: 2024-11-02 | Updated: 2025-03-22
Privacy Protection
Privacy-Preserving Dynamic Assortment Selection
Authors: Young Hyun Cho, Will Wei Sun | Published: 2024-10-29
Federated Learning in Practice: Reflections and Projections
Authors: Katharine Daly, Hubert Eichner, Peter Kairouz, H. Brendan McMahan, Daniel Ramage, Zheng Xu | Published: 2024-10-11
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
Authors: Yuqing Nie, Chong Wang, Kailong Wang, Guoai Xu, Guosheng Xu, Haoyu Wang | Published: 2024-10-11
PILLAR: an AI-Powered Privacy Threat Modeling Tool
Authors: Majid Mollaeefar, Andrea Bissoli, Silvio Ranise | Published: 2024-10-11
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Authors: Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li | Published: 2024-10-10
Near Exact Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Thakurta | Published: 2024-10-08 | Updated: 2025-03-20
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
Authors: Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang | Published: 2024-10-08 | Updated: 2024-10-10
SoK: Towards Security and Safety of Edge AI
Authors: Tatjana Wingarz, Anne Lauscher, Janick Edinger, Dominik Kaaser, Stefan Schulte, Mathias Fischer | Published: 2024-10-07
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