Poster: TapSnoop - Inferring Tapstrokes from Listening to Tap Sound on Mobile Devices. - Hyosu Kim; Daehyeok Kim; Byunggill Joe; Yunxin Liu 001; Insik Shin (MobiSys (Companion Volume), 2016)

Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing. - Wookhyun Han; Byunggill Joe; Byoungyoung Lee; Chengyu Song; Insik Shin (NDSS, 2018)

OBFUSCURO: A Commodity Obfuscation Engine on Intel SGX. - Adil Ahmad; Byunggill Joe; Yuan Xiao 001; Yinqian Zhang; Insik Shin; Byoungyoung Lee (NDSS, 2019)

Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. - Byunggill Joe; Sung Ju Hwang; Insik Shin (CoRR, 2019)

TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices. - Hyosu Kim; Byunggill Joe; Yunxin Liu 001 (IEEE Access, 2020)

Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. - Byunggill Joe; Jihun Hamm; Sung Ju Hwang; Sooel Son; Insik Shin (CoRR, 2020)

Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks. - Byunggill Joe; Akshay Mehra; Insik Shin; Jihun Hamm (CoRR, 2021)

Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. - Byunggill Joe; Insik Shin; Jihun Hamm (IJCAI, 2022)

SemanticVQVAE for Co-Speech Gesture Quantization with Contrastive Learning. - Chungil Kim; San Kim; Jin Yea Jang; Byunggill Joe; Minyeoung Jung; Saim Shin (ICTC, 2024)

A Korean Multimodal Dialogue System Across Multiple User Interfaces. - Yeongbeom Lim; Jin Yea Jang; San Kim; Byunggill Joe; Saim Shin; Minyoung Jung (ICTC, 2024)