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Siew-Kei Lam

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#artificial intelligence Preprint Sep 2026

Subgroup Membership Inference Audits of Differentially Private Synthetic Text

The audit shows that synthetic releases leak subgroup membership and that prior attacks systematically underestimate this leakage, and that DP is effective at the aggregate level: it substantially reduces average leakage at every budget the authors test.

Yi-Dan Sun, Viktor Schlegel, Srinivasan Nandakumar et al. · 0 citations
#machine learning Preprint Sep 2026

HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care

This work introduces HealthLoopQA, a comprehensive diagnostic benchmark for evaluating LLM reasoning over continuous diabetes monitoring data, and identifies a broader phenomenon of In-context Laziness under long-context prompting, highlighting critical open challenges in deploying LLMs for rigorous long-horizon medica...

Yu-Chen Niu, Ya-Nan Ma, Srinivasan Nandakumar et al. · 0 citations

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