Hoki Kim's Projects
PyTorch implementation of adversarial attacks [torchattacks]
PyTorch implementations of Adversarial defenses and utils.
A pytorch implementation of "Adversarial Examples in the Physical World"
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
PyTorch implementation of bayesian neural network [torchbnn]
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)
A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
Dev Blog by Dale Seo
Subject Area
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A pytorch implementation of "Explaining and harnessing adversarial examples"
A Gatsby Starter Project to get started with the Portfolio Minimal Theme.
PyTorch implementation of Adversarial Attacks on Graph Neural Networks via Meta Learning.
A pytorch implementation of "Intriguing properties of neural networks"
Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]
PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Pytorch Codes for Beginner
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Custom utils for Pytorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)