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convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

cost-sensitive-robustness

A general method for training cost-sensitive robust classifier

emc_halfspaces

Empirically estimates the concentration of measure of a dataset using halfspaces.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

inductive-mc

A non-convex algorithm for inductive matrix completion

intrinsic-rob

Studying the Intrinsic Robustness Limits for Robust Learning using Conditional Models

intrinsic_rob_lu

Code Implementation for the ICLR 2022 Paper "Understanding Intrinsic Robustness using Label Uncertainty"

lr-svrg

A non-convex stochastic variance reduced gradient method for general low-rank matrix estimation

measure-concentration

An Empirical Method of Measuring Concentration for Distributions

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch_cifar10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

robust-pca

A non-convex algorithm for general low-rank plus sparse matrix recovery

starter-academic

test