Ryan McKenna
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| title | conference | date |
|---|---|---|
| DPSynth: From Research to Production—Engineering Differentially Private Synthetic... | PEPR '26 | 2026-06-01 |
DPSynth is a marginal-based DP library that turns research into a production system: it measures low-dimensional marginals with epsilon-delta guarantees, fits… | ||
| Private Tuning of LLMs in Practice: From VaultGemma to Custom Fine-Tuning | PEPR '26 | 2026-06-01 |
Claim: Differential Privacy is practical at production scale using JAX Privacy to train and fine-tune Gemma-family models including VaultGemma. Implementation… | ||
| Algorithms for Answering Linear Queries, Part III | Data Privacy: Foundations and Applications Boot Camp | 2019-01-28 |
Presents a scalable variant of the matrix mechanism that replaces a global semidefinite program with local gradient optimization over a parameterized family of… | ||
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