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- Year in Review
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June 10, 2026
New framework for auditing machine unlearning- Algorithms & Theory ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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May 27, 2026
Private analytics via zero-trust aggregation- Security, Privacy and Abuse Prevention
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March 31, 2026
Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly- Algorithms & Theory ·
- Quantum ·
- Security, Privacy and Abuse Prevention
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December 10, 2025
A differentially private framework for gaining insights into AI chatbot use- Generative AI ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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November 12, 2025
Differentially private machine learning at scale with JAX-Privacy- Algorithms & Theory ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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October 30, 2025
Toward provably private insights into AI use- Generative AI ·
- Mobile Systems ·
- Security, Privacy and Abuse Prevention ·
- Software Systems & Engineering
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October 20, 2025
A picture's worth a thousand (private) words: Hierarchical generation of coherent synthetic photo albums- Generative AI ·
- Machine Intelligence ·
- Security, Privacy and Abuse Prevention
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October 15, 2025
Coral NPU: A full-stack platform for Edge AI- Generative AI ·
- Hardware & Architecture ·
- Product ·
- Security, Privacy and Abuse Prevention
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September 12, 2025
VaultGemma: The world's most capable differentially private LLM- Generative AI ·
- Open Source Models & Datasets ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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September 11, 2025
Speculative cascades — A hybrid approach for smarter, faster LLM inference- Generative AI ·
- Natural Language Processing ·
- Security, Privacy and Abuse Prevention
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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