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Aminollah Khormali and Jiann-Shiun Yuan
Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media?s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos, i.e., Dee...
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Milad Salem, Aminollah Khormali, Arash Keshavarzi Arshadi, Julia Webb and Jiann-Shiun Yuan
Deep learning?s automatic feature extraction has proven its superior performance over traditional fingerprint-based features in the implementation of virtual screening models. However, these models face multiple challenges in the field of early drug disc...
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Shayan Taheri, Aminollah Khormali, Milad Salem and Jiann-Shiun Yuan
In this work, we propose a novel defense system against adversarial examples leveraging the unique power of Generative Adversarial Networks (GANs) to generate new adversarial examples for model retraining. To do so, we develop an automated pipeline using...
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