stanislavfort / ensemble-everything-everywhereLinks
The code for the Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness paper
☆22Updated 9 months ago
Alternatives and similar repositories for ensemble-everything-everywhere
Users that are interested in ensemble-everything-everywhere are comparing it to the libraries listed below
Sorting:
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆108Updated last year
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆76Updated last year
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- What do we learn from inverting CLIP models?☆55Updated last year
- Privacy backdoors☆51Updated last year
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆58Updated last year
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Updated 3 years ago
- ☆14Updated last year
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆77Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆24Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆103Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated last year
- ☆34Updated last year
- ☆22Updated last year
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆53Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆31Updated last year
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆13Updated 3 months ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated last year
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆43Updated 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- ICML 2024 Paper "Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies"☆14Updated last year
- ☆24Updated last year
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Updated 8 months ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆48Updated last year
- ☆34Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago