davidstutz / pytorch-adversarial-examples-training-articles
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
☆68Updated last year
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
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 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
- ☆67Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆150Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆93Updated 9 months ago
- ☆34Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆126Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- 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
- ☆45Updated 2 years ago
- ☆195Updated 5 months ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆104Updated 8 months ago
- ☆122Updated 3 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆78Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated 11 months ago
- ☆43Updated 5 months ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆105Updated 2 years ago
- ☆38Updated 3 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- ☆16Updated 2 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆110Updated 2 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆101Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- ☆13Updated 4 years ago
- ☆28Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆30Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago