Damien Desfontaines
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| title | conference | date |
|---|---|---|
| Privacy in Theory, Bugs in Practice: Grey-Box Testing for Differential Privacy Libraries | PEPR '26 | 2026-06-01 |
An open-source framework called DP Recorder wraps mechanisms for unit tests and uses a record-and-replay approach to run a program on a dataset and its… | ||
| The Emperor's New Embeddings: Obfuscating ML Inputs Doesn't Provide Privacy | PEPR '26 | 2026-06-01 |
Claims that token or embedding obfuscation gives inference privacy fail: applying the data processing inequality shows transformed inputs cannot hide more… | ||
| Empirical Privacy Metrics: The Bad, the Ugly… and the Good, Maybe? | PEPR '24 | 2024-06-03 |
Synthetic-data vendors often report similarity-based metrics that compute a distance-to-train vs distance-to-test and flag overfitting, but those numbers are… | ||
| How to Break, Then Fix, Differential Privacy on Finite Computers | PEPR '23 | 2023-09-11 |
Shows that naive floating-point Laplace implementations leak exact counts via precision-based attacks because some floats are unreachable, letting an adversary… | ||
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