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3 papers
Measuring Mid-2025 LLM-Assistance on Novice Performance in Biology
Shen Zhou Hong, Alex Kleinman, Alyssa Mathiowetz +9
Large language models (LLMs) perform strongly on biological benchmarks, raising concerns that they may help novice actors acquire dual-use laboratory skills. Yet, whether this tran…
Machine Learning Driven Biomarker Selection for Medical Diagnosis
Divyagna Bavikadi, Ayushi Agarwal, Shashank Ganta +4
Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated mole…
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar, Shan Wang, Audra McMillan +34
We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Locally differentially private…