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- Year in Review
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August 20, 2025
Securing private data at scale with differentially private partition selection- Algorithms & Theory ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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August 14, 2025
Beyond billion-parameter burdens: Unlocking data synthesis with a conditional generator- Generative AI ·
- Natural Language Processing ·
- Security, Privacy and Abuse Prevention
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August 7, 2025
Achieving 10,000x training data reduction with high-fidelity labels- Human-Computer Interaction and Visualization ·
- Machine Intelligence ·
- Security, Privacy and Abuse Prevention
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May 23, 2025
Fine-tuning LLMs with user-level differential privacy- Algorithms & Theory ·
- Machine Intelligence ·
- Security, Privacy and Abuse Prevention
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May 13, 2025
Differential privacy on trust graphs- Algorithms & Theory ·
- Security, Privacy and Abuse Prevention
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March 18, 2025
Generating synthetic data with differentially private LLM inference- Machine Intelligence ·
- Natural Language Processing ·
- Security, Privacy and Abuse Prevention
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March 4, 2025
Discovering new words with confidential federated analytics- Mobile Systems ·
- Security, Privacy and Abuse Prevention ·
- Software Systems & Engineering
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January 22, 2025
Parfait: Enabling private AI with research tools- Distributed Systems & Parallel Computing ·
- Generative AI ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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November 25, 2024
Bridging the gap in differentially private model training- Algorithms & Theory ·
- Distributed Systems & Parallel Computing ·
- Machine Intelligence ·
- Security, Privacy and Abuse Prevention
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May 16, 2024
Protecting users with differentially private synthetic training data- Machine Intelligence ·
- Natural Language Processing ·
- Security, Privacy and Abuse Prevention
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April 19, 2024
Improving Gboard language models via private federated analytics- Algorithms & Theory ·
- Distributed Systems & Parallel Computing ·
- Product ·
- Security, Privacy and Abuse Prevention
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February 21, 2024
Advances in private training for production on-device language models- Mobile Systems ·
- Product ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention