Sanghyun Hong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Learning Models

Neural Architecture

Ordinary Differential Equations

Top Venues

Publications

Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR (2024)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Diffusion Denoising as a Certified Defense against Clean-label Poisoning. CoRR (2024)
Victor Agostinelli, Sanghyun Hong, Lizhong Chen
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. CoRR (2024)
Ojas Nimase, Sanghyun Hong
When Do "More Contexts" Help with Sarcasm Recognition? CoRR (2024)
Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. CoRR (2024)
Ojas Nimase, Sanghyun Hong
When Do "More Contexts" Help with Sarcasm Recognition? LREC/COLING (2024)
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI (2024)
Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR (2024)
Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. CoRR (2024)
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design. CHI (2023)
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML (2023)
Zachary Coalson, Gabriel Ritter, Rakesh Bobba, Sanghyun Hong
BERT Lost Patience Won't Be Robust to Adversarial Slowdown. NeurIPS (2023)
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Perceptual Pat: A Virtual Human System for Iterative Visualization Design. CoRR (2023)
Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR (2023)
Sungbok Shin, Sunghyo Chung, Sanghyun Hong, Niklas Elmqvist
A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Publishing Efficient On-device Models Increases Adversarial Vulnerability. SaTML (2023)
Zachary Coalson, Gabriel Ritter, Rakesh Bobba, Sanghyun Hong
BERT Lost Patience Won't Be Robust to Adversarial Slowdown. CoRR (2023)
Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini, Florian Tramèr
Data Poisoning Won't Save You From Facial Recognition. ICLR (2022)
Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CCS (2022)
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR (2022)
Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CoRR (2022)
Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR (2022)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Handcrafted Backdoors in Deep Neural Networks. NeurIPS (2022)
Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR (2022)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Publishing Efficient On-device Models Increases Adversarial Vulnerability. CoRR (2022)
Geunwoo Kim, Sanghyun Hong, Michael Franz, Dokyung Song
Improving cross-platform binary analysis using representation learning via graph alignment. ISSTA (2022)
Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. NeurIPS (2021)