Ted is writing things
- 2026-09-09: How and why Google will share anonymized search data with their competitors by Damien Desfontaines
- 2026-09-06: Observations on LLMs for privacy work by Damien Desfontaines
- 2026-07-07: One year of Hiding Nemo by Damien Desfontaines
- 2026-06-10: Banning noise will be a disaster for statistical data products by Damien Desfontaines
- 2026-05-17: Guest post: Goodbye (ε,δ), hello μ! Reporting privacy guarantees in machine learning by Kulynych, Bogdan and Desfontaines, Damien
- 2026-04-28: Notes from Dagstuhl: biomedical data sharing by Damien Desfontaines
- 2026-03-17: Research highlight: Cliopatra: Extracting Private Information from LLM Insights by Damien Desfontaines
- 2026-02-18: Research post: Privacy in theory, bugs in practice by Erb, David and Fitzsimons, Jack and Desfontaines, Damien
- 2026-02-02: Guest post: Balancing your dataset? Mind the privacy leaks! by Georgi, Ganev and Desfontaines, Damien
- 2026-01-12: Three kinds of “privacy auditing” by Damien Desfontaines
- 2026-01-07: On “simplifying” GDPR's definition of personal data by Damien Desfontaines
- 2025-12-28: Favorite reads of 2025 by Damien Desfontaines
- 2025-11-18: Mapping ISO standards to modern privacy attacks by Damien Desfontaines
- 2025-09-28: Tell me what to write by Damien Desfontaines
- 2025-09-09: Research highlights: Privacy attacks on statistical data by Damien Desfontaines
- 2025-08-24: Five hard lessons learned by privacy engineers by Damien Desfontaines
- 2025-08-10: Answering the BfDI's questions on personal data in LLMs by Damien Desfontaines
- 2025-07-07: Introducing Hiding Nemo 🪸 by Damien Desfontaines
- 2025-04-21: Can you beat me at WORDPL? by Damien Desfontaines
- 2025-04-06: The search for better empirical privacy metrics by Desfontaines, Damien and Haney, Samuel and Pujol, David
- 2025-03-09: A glossary of differential privacy terms by Damien Desfontaines
- 2025-01-19: Don't use diffprivlib by Damien Desfontaines
- 2025-01-12: Five things privacy experts know about AI by Damien Desfontaines
- 2024-10-12: Winning at DP VISION — suspiciously easily… by Damien Desfontaines
- 2024-09-28: Paper highlights: Utility-boosting geometric tricks by Damien Desfontaines
- 2024-09-21: What's up with all these large privacy budgets? by Damien Desfontaines
- 2024-06-05: Empirical privacy metrics: the bad, the ugly… and the good, maybe? by Damien Desfontaines
- 2024-06-01: Converters between differential privacy variants by Damien Desfontaines
- 2024-05-06: Paper highlight: Evaluations of Machine Learning Privacy Defenses are Misleading by Damien Desfontaines
- 2024-04-27: Five stages of accepting provably robust anonymization by Damien Desfontaines
- 2023-10-08: Choosing things privately with the exponential mechanism by Damien Desfontaines
- 2023-05-03: Mapping privacy-enhancing technologies to your use cases by Damien Desfontaines
- 2023-03-09: What anonymization techniques can you trust? by Damien Desfontaines
- 2022-07-17: Is differential privacy the right fit for your problem? by Damien Desfontaines
- 2022-06-26: Research post: Differential privacy under partial knowledge by Damien Desfontaines
- 2022-03-08: A bottom-up approach to making differential privacy ubiquitous by Damien Desfontaines
- 2022-02-19: Averaging risk: Rényi DP & zero-concentrated DP by Damien Desfontaines
- 2021-09-30: A list of real-world uses of differential privacy by Damien Desfontaines
- 2021-09-26: A friendly, non-technical introduction to differential privacy by Damien Desfontaines
- 2021-08-04: Joining Tumult Labs by Damien Desfontaines
- 2021-07-26: Don't worry, your data's noisy by Damien Desfontaines
- 2021-06-15: Getting more useful results with differential privacy by Desfontaines, Damien and Simmons-Marengo, Daniel
- 2021-05-25: Demystifying the US Census Bureau's reconstruction attack by Damien Desfontaines
- 2021-03-29: Why not differential privacy? by Damien Desfontaines
- 2021-03-03: Converting my PhD thesis into HTML by Damien Desfontaines
- 2020-11-14: The magic of Gaussian noise by Damien Desfontaines
- 2020-03-05: The privacy loss random variable by Damien Desfontaines
- 2019-09-19: A reading list on differential privacy by Damien Desfontaines
- 2019-08-12: « What does a privacy engineer do, anyway? » by Damien Desfontaines
- 2019-06-26: Local vs. central differential privacy by Damien Desfontaines
- 2019-03-08: Research post: Cardinality Estimators do not Preserve Privacy by Damien Desfontaines
- 2019-02-19: Almost differential privacy by Damien Desfontaines
- 2018-12-27: Personal open access policy by Damien Desfontaines
- 2018-11-21: Differential privacy in practice (easy version) by Damien Desfontaines
- 2018-08-31: « So, how does your part-time PhD arrangement actually work? » by Damien Desfontaines
- 2018-08-15: Differential privacy in (a bit) more detail by Damien Desfontaines
- 2018-07-29: Why differential privacy is awesome by Damien Desfontaines
- 2018-04-25: δ-presence, for when being in the dataset is sensitive by Damien Desfontaines
- 2018-02-18: l-diversity, because reidentification doesn't tell the whole story by Damien Desfontaines
- 2018-01-09: Book review: Crash Override by Damien Desfontaines
- 2017-10-09: k-map, the weird cousin of k-anonymity by Damien Desfontaines
- 2017-10-08: Book review: Twitter and Tear Gas by Damien Desfontaines
- 2017-09-26: Biometrics: authentication or identification? by Damien Desfontaines
- 2017-08-13: k-anonymity, the parent of all privacy definitions by Damien Desfontaines
- 2017-07-16: Beginnings by Damien Desfontaines
End of feed.