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Byunggill Joe
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2020 – today
- 2022
- [c4]Byunggill Joe, Insik Shin, Jihun Hamm:
Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. IJCAI 2022: 3121-3127 - [i4]Byunggill Joe, Insik Shin, Jihun Hamm:
Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. CoRR abs/2207.09912 (2022) - 2021
- [i3]Byunggill Joe, Akshay Mehra, Insik Shin, Jihun Hamm:
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks. CoRR abs/2106.07925 (2021) - 2020
- [j1]Hyosu Kim
, Byunggill Joe
TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices. IEEE Access 8: 14737-14748 (2020) - [i2]Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin:
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. CoRR abs/2012.03483 (2020)
2010 – 2019
- 2019
- [c3]Adil Ahmad, Byunggill Joe, Yuan Xiao, Yinqian Zhang, Insik Shin, Byoungyoung Lee:
OBFUSCURO: A Commodity Obfuscation Engine on Intel SGX. NDSS 2019 - [i1]Byunggill Joe, Sung Ju Hwang, Insik Shin:
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. CoRR abs/1909.04311 (2019) - 2018
- [c2]Wookhyun Han, Byunggill Joe, Byoungyoung Lee, Chengyu Song, Insik Shin:
Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing. NDSS 2018 - 2016
- [c1]Hyosu Kim, Daehyeok Kim, Byunggill Joe, Yunxin Liu, Insik Shin:
Poster: TapSnoop - Inferring Tapstrokes from Listening to Tap Sound on Mobile Devices. MobiSys (Companion Volume) 2016: 137
Coauthor Index
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