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1. Artifact-free-B-cos-Networks Artifact-free-B-cos-Networks Public

   [MICCAI 2026] Code for the paper: Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networks.

   Python 2

2. B-cosification B-cosification Public

   [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.

   Jupyter Notebook 43

3. Pokemon-Diffusion Pokemon-Diffusion Public

   Forked from gerritgr/pokemon_diffusion

   Deep Generative Diffusion Model for Pokemon Generation based on Denoising Probablistic Model (DDPM).

   Jupyter Notebook 5

4. Privacy-Attacks-in-Machine-Learning Privacy-Attacks-in-Machine-Learning Public

   Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.

   Python 69 8

5. Conv-AcT-pytorch Conv-AcT-pytorch Public

   Forked from m-hamza-mughal/Conv-AcT-pytorch

   Human Activity Recognition (HAR) with Vision Transformer (ViT) based on Convolutional Features.

   Jupyter Notebook 2

6. Proactive-and-Reactive-Measures-for-Adversarial-Defense Proactive-and-Reactive-Measures-for-Adversarial-Defense Public

   Forked from pankhurivanjani/Proactive-and-Reactive-Measures-for-Adversarial-Defense

   Maximally separating features in intermediate feature layers using PCL loss + image transformations with adversarial example transferability.

   Jupyter Notebook 2