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Pranjal Awasthi

Calibration and Consistency of Adversarial Surrogate Losses

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May 04, 2021
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A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness

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Mar 03, 2021
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Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

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Feb 16, 2021
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Adversarial Robustness Across Representation Spaces

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Dec 01, 2020
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Beyond Individual and Group Fairness

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Aug 21, 2020
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Adversarial robustness via robust low rank representations

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Aug 01, 2020
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On the Rademacher Complexity of Linear Hypothesis Sets

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Jul 21, 2020
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Adaptive Sampling to Reduce Disparate Performance

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Jun 11, 2020
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A Notion of Individual Fairness for Clustering

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Jun 08, 2020
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Estimating Principal Components under Adversarial Perturbations

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Jun 02, 2020
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