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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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Shayan Taheri, Milad Salem and Jiann-Shiun Yuan
In this work, we propose ShallowDeepNet, a novel system architecture that includes a shallow and a deep neural network. The shallow neural network has the duty of data preprocessing and generating adversarial samples. The deep neural network has the duty...
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Milad Salem, Shayan Taheri and Jiann-Shiun Yuan
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Shayan Taheri, Milad Salem and Jiann-Shiun Yuan
The advancements in the Internet has enabled connecting more devices into this technology every day. The emergence of the Internet of Things has aggregated this growth. Lack of security in an IoT world makes these devices hot targets for cyber criminals ...
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Milad Salem, Shayan Taheri and Jiann-Shiun Yuan
The SECOM dataset contains information about a semiconductor production line, entailing the products that failed the in-house test line and their attributes. This dataset, similar to most semiconductor manufacturing data, contains missing values, imbalan...
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