Ka-Ho Chow
About
Ka-Ho Chow has authored 21 papers that have received a total of 199 indexed citations.
This includes 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. The topics of these papers are Adversarial Robustness in Machine Learning (11 papers), Privacy-Preserving Technologies in Data (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Ka-Ho Chow is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Privacy-Preserving Technologies in Data (5 papers) and Anomaly Detection Techniques and Applications (5 papers) and collaborates with scholars based in United States, Hong Kong and China. Ka-Ho Chow's co-authors include Yanzhao Wu, Ling Liu, Wenqi Wei, Stacey Truex and S.-H. Gary Chan and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Parallel and Distributed Systems.
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