The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

A repository containing deep learning models and evaluation methods for enhancing medical image segmentation in Computed Tomography (CT) scans, with a focus on U-Net variants, nnUNet, and Swin-UNet architectures.

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning

Single-Agent Deep-Q Learning: Exploratory versus Greedy polices for the traversal of a randomly generated 2-D labyrinth.