xiaozhanguva
I am a faculty member of CISPA Helmholtz Center for Information Security
CISPA Helmholtz Center for Information SecuritySaarbrücken, Germany
Pinned Repositories
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"
Measure-Concentration
An Empirical Method of Measuring Concentration for Distributions
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Robust-PCA
A non-convex algorithm for general low-rank plus sparse matrix recovery
xiaozhanguva's Repositories
xiaozhanguva/Cost-Sensitive-Robustness
A general method for training cost-sensitive robust classifier
xiaozhanguva/Measure-Concentration
An Empirical Method of Measuring Concentration for Distributions
xiaozhanguva/Inductive-MC
A non-convex algorithm for inductive matrix completion
xiaozhanguva/Intrinsic-Rob
Studying the Intrinsic Robustness Limits for Robust Learning using Conditional Models
xiaozhanguva/Intrinsic_rob_lu
Code Implementation for the ICLR 2022 Paper "Understanding Intrinsic Robustness using Label Uncertainty"
xiaozhanguva/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
xiaozhanguva/convex_adversarial
A method for training neural networks that are provably robust to adversarial attacks.
xiaozhanguva/EMC_HalfSpaces
Empirically estimates the concentration of measure of a dataset using halfspaces.
xiaozhanguva/Robust-PCA
A non-convex algorithm for general low-rank plus sparse matrix recovery
xiaozhanguva/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
xiaozhanguva/LR-SVRG
A non-convex stochastic variance reduced gradient method for general low-rank matrix estimation
xiaozhanguva/pytorch-cifar
95.47% on CIFAR10 with PyTorch
xiaozhanguva/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
xiaozhanguva/starter-academic
xiaozhanguva/test