Alternatives and similar repositories for pretraining-distribution-shift-robustness

Users that are interested in pretraining-distribution-shift-robustness are comparing it to the libraries listed below

• mueller-mp / SAM-ON
  ☆34Updated 2 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆41Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆21Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• thestephencasper / latent_adversarial_training
  ☆24Updated last year
• vasusingla / simple-data-attribution
  A simple and efficient baseline for data attribution
  ☆11Updated 2 years ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆54Updated 3 years ago
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆58Updated last year
• UCSC-VLAA / AdvXL
  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"
  ☆20Updated last year
• MadryLab / rethinking-backdoor-attacks
  ☆16Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆56Updated 5 years ago
• pdejorge / N-FGSM
  Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)
  ☆25Updated 3 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated 2 years ago
• inspire-group / proxy-distributions
  [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
  ☆29Updated 3 years ago
• harshays / inputgradients
  Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)
  ☆13Updated 3 years ago
• Bai-YT / AdaptiveSmoothing
  Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
  ☆10Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 3 years ago
• modestyachts / cifar-10.2
  Host CIFAR-10.2 Data Set
  ☆13Updated 4 years ago
• izmailovpavel / spurious_feature_learning
  ☆48Updated 3 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆19Updated 3 years ago
• yoonholee / DivDis
  ☆39Updated 3 years ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆25Updated 2 years ago
• hsouri / GDP
  Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
  ☆11Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆23Updated 2 years ago
• AI-secure / Knowledge-Enhanced-Machine-Learning-Pipeline
  Repository for Knowledge Enhanced Machine Learning Pipeline (KEMLP)
  ☆10Updated 4 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 3 years ago