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VaultGemma: The world's most capable differentially private LLM

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We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Our researchers drive advancements in computer science through both fundamental and applied research. We regularly open-source projects with the broader research community and apply our developments to Google products. Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science. We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Supporting the next generation of researchers through a wide range of programming. Participating in the academic research community through meaningful engagement with university faculty. Connecting with the broader research community through events is essential for creating progress in every aspect of our work. September 12, 2025 Amer Sinha, Software Engineer, and Ryan McKenna, Research Scientist, Google Research

VaultGemma: The world's most capable differentially private LLM Skip to main content VaultGemma: The world's most capable differentially private LLM September 12, 2025 Amer Sinha, Software Engineer, and Ryan McKenna, Research Scientist, Google Research We introduce VaultGemma, the most capable model trained from scratch with differential privacy. Quick links Paper Hugging Face Kaggle Technical report Share Copy link × As AI becomes more integrated into our lives, building it with privacy at its core is a critical frontier for the field. Differential privacy (DP) offers a mathematically sound s

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