This repository contains the source code accompanying our ACSAC'21 paper Morphence: Moving Target Defense Against Adversarial Examples and its extension to Morphence-2.0: Evasion-Resilient Moving ...

Training and inference of VAE on Moving Mnist and UCF101 frames Training and Inference of Latte Video Model using trained VAE on 16 frame video clips of both datasets Configurable code for training ...

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Abstract: This research delves into the promising realm of Conditional Generative Adversarial Networks (CGANs) to explore their potential for crafting unique fashion item images. Leveraging the robust ...