| 2026 | SP | Site Isolation is Dead: How Site Isolation is Broken in Agentic Browsers and Extensions. | Suyoung Lee, Seongho Keum, Changoo Lee, Dongwon Shin, Sanghyun Hong, Byoungyoung Lee, Sooel Son |
| 2025 | AsiaCCS | Evaluating Robustness of Reference-based Phishing Detectors. | Eunjin Roh, Sungwoo Jeon, Sooel Son, Sanghyun Hong |
| 2025 | ICCV | Harnessing Input-Adaptive Inference for Efficient VLN. | Dongwoo Kang, Akhil Perincherry, Zachary Coalson, Aiden Gabriel, Stefan Lee, Sanghyun Hong |
| 2025 | Interspeech | Enhancing Audio Deepfake Detection by Improving Representation Similarity of Bonafide Speech. | Seung-bin Kim, Hyun-seo Shin, Jungwoo Heo, Chan-yeong Lim, Kyo-Won Koo, Jisoo Son, Sanghyun Hong, Souhwan Jung, Ha-Jin Yu |
| 2025 | SC | Demystifying the Resilience of Large Language Model Inference: An End-to-End Perspective. | Yu Sun, Zachary Coalson, Shiyang Chen, Hang Liu, Zhao Zhang, Sanghyun Hong, Bo Fang, Lishan Yang |
| 2025 | SP | SoK: Watermarking for AI-Generated Content. | Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andrs Fbrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramr, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song |
| 2024 | AAAI | Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. | Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park |
| 2024 | ACSAC | You Only Perturb Once: Bypassing (Robust) Ad-Blockers Using Universal Adversarial Perturbations. | Dongwon Shin, Suyoung Lee, Sanghyun Hong, Sooel Son |
| 2024 | CIKM | Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. | Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee |
| 2024 | COLING | When Do "More Contexts" Help with Sarcasm Recognition? | Ojas Nimase, Sanghyun Hong |
| 2024 | DSN | Message from the DSML Workshop Chairs; DSN-W 2024. | Sanghyun Hong, Bo Fang |
| 2024 | ICLR | PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. | Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park |
| 2024 | ICML | LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. | Victor Agostinelli, Sanghyun Hong, Lizhong Chen |
| 2024 | ICML | Parameterized Physics-informed Neural Networks for Parameterized PDEs. | Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park |
| 2023 | CHI | Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design. | Sungbok Shin, Sanghyun Hong, Niklas Elmqvist |
| 2023 | ICML | Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. | Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong |
| 2022 | CCS | Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. | Florian Tramr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini |
| 2022 | ICLR | Data Poisoning Won't Save You From Facial Recognition. | Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini, Florian Tramr |
| 2022 | ISSTA | Improving cross-platform binary analysis using representation learning via graph alignment. | Geunwoo Kim, Sanghyun Hong, Michael Franz, Dokyung Song |
| 2021 | ICICS | Certified Malware in South Korea: A Localized Study of Breaches of Trust in Code-Signing PKI Ecosystem. | Bum Jun Kwon, Sanghyun Hong, Yuseok Jeon, Doowon Kim |
| 2021 | ICLR | A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. | Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras |
| 2020 | ICLR | How to 0wn the NAS in Your Spare Time. | Sanghyun Hong, Michael Davinroy, Yigitcan Kaya, Dana Dachman-Soled, Tudor Dumitras |
| 2019 | ICML | Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. | Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras |
| 2018 | ICWS | On Integrating Knowledge Graph Embedding into SPARQL Query Processing. | Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon |
| 2018 | SMC | Self-Driving Mobile Robots Using Human-Robot Interactions. | Justin Miller, Sanghyun Hong, Jianbo Lu |
| 2017 | SMC | Transition probability estimation and its application in evaluation of automated driving. | Sanghyun Hong, Jianbo Lu, Dimitar P. Filev |
| 2016 | SMC | Driver behavior characterization using multiple dynamic models. | Sanghyun Hong, Jianbo Lu, Dimitar P. Filev |
| 2008 | ICNC | PLC Control Logic Error Monitoring and Prediction Using Neural Network. | In-Sung Jung, B. M. Mulman, Devinder Thapa, Lock-Jo Koo, Jae-Ho Bae, Sanghyun Hong, Sungjoo Yeo, Chang Mok Park, S. C. Park, Gi-Nam Wang |