#privacy preservation
4 papers · 1 filter
Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
Pouya Rajabi, Mohsen Toorani
The paper proposes a federated learning framework for clinical EEG data that uses masking‑based secure aggregation and related cryptographic techniques to protect individual model…
Is External Database Protection Static in Retrieval-Augmented Generation? Rethinking Privacy Preservation under Dynamic Queries
Gang Zhang, Mingyu Tian, Xukun Luan +2
The paper studies privacy leaks in retrieval‑augmented generation and introduces a prompt‑aware dynamic hierarchical differential privacy method that adapts protection based on the…
Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network
Joanna Komorniczak
The paper introduces a fully connected neural network that converts high‑dimensional Gaussian noise into synthetic tabular data resembling real datasets, using preprocessing, PCA,…
Privacy Preserving Recommender Systems Balancing Personalization with Privacy
Ranjeet K Jha, Venkata Suresh Gummadilli
The paper proposes a framework that combines federated learning and differential privacy to build recommendation systems that keep user data decentralized while preserving recommen…