11 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Learning-Theoretic Foundation for General Coded Computing: The Adversarial Setting
Parsa Moradi, Hanzaleh Akbarinodehi, Mohammad Ali Maddah-Ali
Adversarial workers pose a severe challenge in distributed computing systems by returning corrupted outputs that can substantially distort the recovered computations. Coded computi…
DReS: Dual Reconstruction Smoothing for Functional Regularization
Parsa Moradi, Tayyebeh Jahaninezhad, Hanzaleh Akbarinodehi +1
Smoothness is a key inductive bias in machine learning and is closely related to generalization. Existing smoothness-inducing methods typically rely either on explicit gradient reg…
Adversarial Robustness of Nonparametric Regression
Parsa Moradi, Hanzaleh Akabrinodehi, Mohammad Ali Maddah-Ali
In this paper, we investigate the adversarial robustness of nonparametric regression, a fundamental problem in machine learning, under the setting where an adversary can arbitraril…