imrahulr

imrahulr's Stars

• VSehwag/minimal-diffusion

  A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

  Language:Python25640

• fanconic/this-does-not-look-like-that

  Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"

  Language:Jupyter Notebook165

• RobustBench/robustbench

  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

  Language:Python66599

• imrahulr/hat

  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

  Language:Python295

• imrahulr/adversarial_robustness_pytorch

  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

  Language:Python9212

• imrahulr/Toxic-Comment-Classification-Kaggle

  Deep Learning for Toxic Comment Classification

  Language:Jupyter Notebook145