davidstutz / pytorch-adversarial-examples-training-articlesLinks
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
☆67Updated 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:
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆72Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆75Updated 2 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 2 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- ☆220Updated last year
- Starting kit for the NeurIPS 2023 unlearning challenge☆374Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆176Updated 3 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆69Updated 2 years ago
- ☆75Updated 2 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆343Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- PyTorch-centric library for evaluating and enhancing the robustness of AI technologies☆57Updated last year
- Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.☆69Updated 3 years ago
- ☆139Updated 2 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated 2 weeks ago
- 💡 Adversarial attacks on explanations and how to defend them☆328Updated 11 months ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆105Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆160Updated 3 years ago
- All about the fundamentals and working of Diffusion Models☆159Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago