Research map / Federated learning and privacy / Differential privacy
Creating a Public Repository for Joining Private Data
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Closest papers by meaning
- Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods (NeurIPS 2021 · similarity 0.84)
- Efficiently Computing Similarities to Private Datasets (ICLR 2024 · similarity 0.84)
- Distributed Differentially Private Data Analytics via Secure Sketching (ICML 2025 · similarity 0.84)
- Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent (ICML 2024 · similarity 0.83)
- SynBench: A Benchmark for Differentially Private Text Generation (NeurIPS 2026 · similarity 0.83)
- Instance-Specific Asymmetric Sensitivity in Differential Privacy (NeurIPS 2024 · similarity 0.82)
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