8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Epsilon*: Privacy Metric for Machine Learning Models
Diana M. Negoescu, Humberto Gonzalez, Saad Eddin Al Orjany +9
We introduce Epsilon*, a new privacy metric for measuring the privacy risk of a single model instance prior to, during, or after deployment of privacy mitigation strategies. The me…
cs.LG2022★ 8 cited
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn
Reza Hosseini, Albert Chen, Kaixu Yang +5
Forecasts help businesses allocate resources and achieve objectives. At LinkedIn, product owners use forecasts to set business targets, track outlook, and monitor health. Engineers…