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1. Pre-Trained-Attacks Pre-Trained-Attacks Public

   A unified framework for covert backdoor and feature-based adversarial attacks on pre-trained encoders in self-supervised learning. Includes light/object/entity triggers, feature alignment attacks, …

   Python

2. BD-Attacks-Defenses BD-Attacks-Defenses Public

   A practical toolkit for implementing and evaluating backdoor attacks and defenses in deep learning. Includes BadNets, Blended attacks, and ShrinkPad defense. Ideal for researchers and students expl…

   Python

3. CV-BD-Attacks CV-BD-Attacks Public

   Analyzing backdoor attacks in Federated Learning systems focused on computer vision. Includes implementations of various attack strategies, model configurations, and evaluation scripts to study sec…

   Python

4. NLP-BD-Attacks NLP-BD-Attacks Public

   Analyzing backdoor attacks in Federated Learning systems focused on Natural Language Processing (NLP). Includes implementations of various attack strategies, model configurations, and evaluation sc…

   Python 1

5. img-algos img-algos Public

   Implementations of various image algorithms in Python using OpenCV and PyTorch. Explores classic techniques and modern computer vision models for tasks like object detection, segmentation, and more.

   Python

6. nn-models nn-models Public

   Implementations of various neural network models in Python. Explores computer vision with CNNs (from scratch & Keras) and music generation with generative networks.

   Python