-
Vision & Machine Learning Lab
- Soongsil University
- in/taejin-moon-7330b0188
Highlights
- Pro
Stars
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
Self-hosted YouTube downloader (web UI for youtube-dl / yt-dlp)
Generate Adversarial Attacked Image for Object Detection models using MMDetection
1000 images, one per image-net class. For easy visualization/exploration of classes.
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
A Python package for detecting adversarial evasion attacks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Generative Adversarial Perturbations (CVPR 2018)
Implementation of "CBCT-Dental Scan Registration via Metal-Robust CT Segmentation"
Implementation of "CBCT-Dental Scan Registration via Descriptor Representation Learning"
Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023
PyTorch implementation of adversarial attacks [torchattacks]
Polyglot: Large Language Models of Well-balanced Competence in Multi-languages
The hub for EleutherAI's work on interpretability and learning dynamics
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
[EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
A modular RL library to fine-tune language models to human preferences
Large-scale language modeling tutorials with PyTorch
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Resumes generated using the GitHub informations