27 citations · 42 across the 7 of their papers we have counts for
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cs.LG2020
Robustifying Binary Classification to Adversarial Perturbation
Fariborz Salehi, Babak Hassibi
Despite the enormous success of machine learning models in various applications, most of these models lack resilience to (even small) perturbations in their input data. Hence, new…
stat.ML2020★ 2 cited
The Performance Analysis of Generalized Margin Maximizer (GMM) on Separable Data
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Logistic models are commonly used for binary classification tasks. The success of such models has often been attributed to their connection to maximum-likelihood estimators. It has…