davidstutz / pytorch-adversarial-examples-training-articlesLinks
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
☆68Updated 2 years ago
Alternatives and similar repositories for pytorch-adversarial-examples-training-articles
Users that are interested in pytorch-adversarial-examples-training-articles are comparing it to the libraries listed below
Sorting:
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- ☆70Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆126Updated 2 years ago
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- ☆203Updated 7 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆104Updated 10 months ago
- ☆45Updated 4 years ago
- All about the fundamentals and working of Diffusion Models☆155Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Algorithms for Privacy-Preserving Machine Learning in JAX☆94Updated last month
- ☆13Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆231Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 2 months ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆150Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ☆146Updated last year
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆78Updated 3 years ago
- Hands-on tutorials at EEML2022 summer school☆63Updated 2 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆185Updated 2 years ago
- Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.☆65Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆49Updated 4 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago