9 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 6 cited
Verifying Robustness of Gradient Boosted Models
Gil Einziger, Maayan Goldstein, Yaniv Sa'ar +1
Gradient boosted models are a fundamental machine learning technique. Robustness to small perturbations of the input is an important quality measure for machine learning models, bu…
cs.DS2017★ 9 cited
Optimal Elephant Flow Detection
Ran Ben Basat, Gil Einziger, Roy Friedman +1
Monitoring the traffic volumes of elephant flows, including the total byte count per flow, is a fundamental capability for online network measurements. We present an asymptotically…
cs.DS2016★ 1 cited
Randomized Admission Policy for Efficient Top-k and Frequency Estimation
Ran Ben Basat, Gil Einziger, Roy Friedman +1
Network management protocols often require timely and meaningful insight about per flow network traffic. This paper introduces Randomized Admission Policy (RAP) - a novel algorithm…