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Conference on Secure and Trustworthy Machine Learning

@satml.org

📏 Wrapping up the talks with deep dives into differential privacy—Session 14 gets technical, from fairness to auditing.

11/4/25, 1:41 pm0 reposts1 like

Conference on Secure and Trustworthy Machine Learning

@satml.org

11 Apr 2025

📃🔐 Privacy and fairness? Khang Tran introduces FairDP, enabling fairness certification alongside differential privacy. Paper: arxiv.org/abs/2305.16474 #SaTML25

Conference on Secure and Trustworthy Machine Learning

@satml.org

11 Apr 2025

🧠 Marginals leak. Steven Golob shows how synthetic data built on marginals can still compromise privacy. Paper: arxiv.org/abs/2410.05506 #SaTML25

Conference on Secure and Trustworthy Machine Learning

@satml.org

11 Apr 2025

🔍 How private was that release? @a-h-koskela.bsky.social presents a method for auditing DP guarantees using density estimation. #SaTML25

Conference on Secure and Trustworthy Machine Learning

@satml.org

11 Apr 2025

🧮 Getting the math right. @matt19234.bsky.social walks through common traps in privacy accounting and how to avoid them. #SaTML25