Hoki Kim

adversarial-attacks-pytorch. PyTorch implementation of adversarial attacks [torchattacks]

bayesian-neural-network-pytorch. PyTorch implementation of bayesian neural network [torchbnn]

PGD-pytorch. A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

FGSM-pytorch. A pytorch implementation of "Explaining and harnessing adversarial examples"

CW-pytorch. A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"

MAIR. Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]

Pytorch-Basic. Pytorch Codes for Beginner

adversarial-defenses-pytorch. PyTorch implementations of Adversarial defenses and utils.

catastrophic-overfitting. Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]

MIDA-pytorch. PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

IPNN-pytorch. A pytorch implementation of "Intriguing properties of neural networks"

AEPW-pytorch. A pytorch implementation of "Adversarial Examples in the Physical World"

RFGSM-pytorch. A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"

pytorch-custom-utils. Custom utils for Pytorch

machine-unlearning-pytorch. PyTorch implementation of machine unlearning [torchunlearn] @ NeurIPS 2025 "Unlearning-Aware Minimization"

privacy-pytorch.

claude-notebook. JavaScript

model-extraction-pytorch. Python

sam-saddle. PyTorch implementation of SAM optimization on simple functions with saddle points @ ICML 2026 "Stability Analysis of Sharpness-Aware Minimization"

coursera-deeplearning-specialization. Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)

foolbox. Python

neural-additive-model-pytorch. PyTorch implementation of neural additive model [torchnam]

PyTorch-BayesianCNN. Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

gnn-meta-attack. PyTorch implementation of Adversarial Attacks on Graph Neural Networks via Meta Learning.