PAC to the Future: Zero-Knowledge Proofs of PAC Private Systems
Authors: Guilhem Repetto, Nojan Sheybani, Gabrielle De Micheli, Farinaz Koushanfar | Published: 2026-02-12
Privacy Assurance
Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
Authors: Dong Yan, Jian Liang, Ran He, Tieniu Tan | Published: 2026-02-12
Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
Authors: Yujie Gu, Richeng Jin, Xiaoyu Ji, Yier Jin, Wenyuan Xu | Published: 2026-02-12
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
Authors: Júlio Oliveira, Rodrigo Ferreira, André Riker, Glaucio H. S. Carvalho, Eirini Eleni Tsilopoulou | Published: 2026-02-10
CAPID: Context-Aware PII Detection for Question-Answering Systems
Authors: Mariia Ponomarenko, Sepideh Abedini, Masoumeh Shafieinejad, D. B. Emerson, Shubhankar Mohapatra, Xi He | Published: 2026-02-10
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
Authors: Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong | Published: 2025-12-09
PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
Authors: Yi Liu, Weixiang Han, Chengjun Cai, Xingliang Yuan, Cong Wang | Published: 2025-12-09
Whistledown: Combining User-Level Privacy with Conversational Coherence in LLMs
Authors: Chelsea McMurray, Hayder Tirmazi | Published: 2025-11-17
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Authors: Ismail Labiad, Mathurin Videau, Matthieu Kowalski, Marc Schoenauer, Alessandro Leite, Julia Kempe, Olivier Teytaud | Published: 2025-07-02
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
Authors: Masood Jan, Wafa Njima, Xun Zhang | Published: 2025-07-02