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06/26/2023
Optimal Differentially Private Learning with Public Data
Differential Privacy (DP) ensures that training a machine learning model...
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02/24/2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
As the efficacy of deep learning (DL) grows, so do concerns about the la...
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10/21/2021
DAIR: Data Augmented Invariant Regularization
While deep learning through empirical risk minimization (ERM) has succee...
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06/10/2021
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems
Min-max saddle point games have recently been intensely studied, due to ...
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09/08/2020