privacy guarantees
- Differential Privacy on Fully Dynamic Streams
- Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
- Locally Optimal Private Sampling: Beyond the Global Minimax
- ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
- OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
- Privacy amplification by random allocation
- Private Continual Counting of Unbounded Streams
- Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
- Subgraph Federated Learning via Spectral Methods