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cs.DS2021
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators
Idan Attias, Edith Cohen, Moshe Shechner +1
Classical streaming algorithms operate under the (not always reasonable) assumption that the input stream is fixed in advance. Recently, there is a growing interest in designing ro…
cs.LG2021
Differentially Private Algorithms for Clustering with Stability Assumptions
Moshe Shechner
We study the problem of differentially private clustering under input-stability assumptions. Despite the ever-growing volume of works on differential privacy in general and differe…