Sanghyun Hong

Sanghyun Hong

University of Maryland

H-index: 12

North America-United States

About Sanghyun Hong

Sanghyun Hong, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Privacy, Security, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

When Do" More Contexts" Help with Sarcasm Recognition?

Diffusion Denoising as a Certified Defense against Clean-label Poisoning

Extension of Physics-informed Neural Networks to Solving Parameterized PDEs

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images

BERT Lost Patience Won't Be Robust to Adversarial Slowdown

HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts

Sanghyun Hong Information

University

Position

PhD Candidate

Citations(all)

966

Citations(since 2020)

953

Cited By

160

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Sanghyun Hong Skills & Research Interests

Privacy

Security

Machine Learning

Top articles of Sanghyun Hong

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

arXiv preprint arXiv:2404.01231

2024/4/1

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

When Do" More Contexts" Help with Sarcasm Recognition?

arXiv preprint arXiv:2403.12469

2024/3/19

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Diffusion Denoising as a Certified Defense against Clean-label Poisoning

arXiv preprint arXiv:2403.11981

2024/3/18

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Extension of Physics-informed Neural Networks to Solving Parameterized PDEs

2024/3/3

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images

arXiv preprint arXiv:2402.12721

2024/2/20

BERT Lost Patience Won't Be Robust to Adversarial Slowdown

Advances in Neural Information Processing Systems

2024/2/13

Sanghyun Hong
Sanghyun Hong

H-Index: 7

HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts

2023/12/7

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator

2023/5

A Stability Analysis of Neural Networks and Its Application to Tsunami Early Warning

2023/5/14

Donsub Rim
Donsub Rim

H-Index: 8

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design

2023/4/19

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Niklas Elmqvist
Niklas Elmqvist

H-Index: 33

Publishing Efficient On-device Models Increases Adversarial Vulnerability

2023/2

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Handcrafted backdoors in deep neural networks

Advances in Neural Information Processing Systems

2022/12/6

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Time Series Forecasting with Hypernetworks Generating Parameters in Advance

arXiv preprint arXiv:2211.12034

2022/11/22

Mining causality from continuous-time dynamics models: An application to tsunami forecasting

arXiv preprint arXiv:2210.04958

2022/10/10

When Neural ODEs meet Neural Operators

2022/9/29

A scanner deeply: Predicting gaze heatmaps on visualizations using crowdsourced eye movement data

IEEE Transactions on Visualization and Computer Graphics

2022/9/27

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Niklas Elmqvist
Niklas Elmqvist

H-Index: 33

Improving Cross-platform Binary Analysis Using Representation Learning via Graph Alignment

2022/7/18

AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation

2022/7/13

Sanghyun Hong
Sanghyun Hong

H-Index: 7

Noseong Park
Noseong Park

H-Index: 12

See List of Professors in Sanghyun Hong University(University of Maryland)

Co-Authors

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