36 citations · 192 across the 32 of their papers we have counts for
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cs.CR2019★ 36 cited
Contamination Attacks and Mitigation in Multi-Party Machine Learning
Jamie Hayes, Olga Ohrimenko
Machine learning is data hungry; the more data a model has access to in training, the more likely it is to perform well at inference time. Distinct parties may want to combine thei…
cs.CR2019★ 1 cited
STAR: Statistical Tests with Auditable Results
Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska +1
We present STAR: a novel system aimed at solving the complex issue of "p-hacking" and false discoveries in scientific studies. STAR provides a concrete way for ensuring the applica…