74 citations · 172 across the 28 of their papers we have counts for
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cs.LG2019★ 9 cited
Element Level Differential Privacy: The Right Granularity of Privacy
Hilal Asi, John Duchi, Omid Javidbakht
Differential Privacy (DP) provides strong guarantees on the risk of compromising a user's data in statistical learning applications, though these strong protections make learning c…
math.OC2019★ 50 cited
The importance of better models in stochastic optimization
Hilal Asi, John C. Duchi
Standard stochastic optimization methods are brittle, sensitive to stepsize choices and other algorithmic parameters, and they exhibit instability outside of well-behaved families…