TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices von Kim, Hyosu, Joe, Byunggill, Liu, Yunxin

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Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study von Joe, Byunggill, Park, Yonghyeon, Hamm, Jihun, Shin, Insik, Lee, Jiyeon

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Cardiac Auscultation Using Smartphones: Pilot Study von Kang, Si-Hyuck, Joe, Byunggill, Yoon, Yeonyee, Cho, Goo-Yeong, Shin, Insik, Suh, Jung-Won

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Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future von Joe, Byunggill, Shin, Insik, Hamm, Jihun

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Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks von Joe, Byunggill, Mehra, Akshay, Shin, Insik, Hamm, Jihun

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Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection von Joe, Byunggill, Hwang, Sung Ju, Shin, Insik

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Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future von Byunggill Joe, Shin, Insik, Hamm, Jihun

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Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection von Joe, Byunggill, Hamm, Jihun, Hwang, Sung Ju, Son, Sooel, Shin, Insik

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Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks von Byunggill Joe, Mehra, Akshay, Shin, Insik, Hamm, Jihun

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Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection von Byunggill Joe, Hwang, Sung Ju, Shin, Insik

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Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection von Byunggill Joe, Hamm, Jihun, Hwang, Sung Ju, Son, Sooel, Shin, Insik

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