About Me

I am a PhD student at University of Maryland, College Park working with Prof. Furong Huang. Previously, I earned a Master's degree from Singapore University of Technology and Design advised by Prof. Ngai-Man Cheung; and a Bachelor from the University of Information Technology - Vietnam National University Ho Chi Minh City working with Dr. Tiep Nguyen and Prof. Tam Nguyen.

I’m deeply interested in ML with current interests in Data-centric, Agentic, and their Applications.

Personal Interests

Ping Pong Cooking Hiking

Beyond research, I'm always up for a friendly ping pong match, experimenting with new recipes in the kitchen or exploring scenic trails on a hike!

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News

March, 2026 Two papers accepted to CVPR 2026: On data privacy of VLMs (Main Track) and Faithful Multimodal Evaluation Framework for Model Inversion (Findings Track)
Sep, 2025 Started my PhD in CS at University of Maryland, College Park
Sep, 2024 One paper accepted to NeurIPS 2024. Embedding dimension is key for ViT Out-of-Distribution generalization
Jul, 2024 One paper accepted to ECCV 2024. Skip connection reinforces adversary
Mar, 2024 One paper accepted to CVPR 2024. Transfer learning prevents data leakage
Jan, 2024 Started my Master of Engineering at SUTD

Education

University of Maryland, College Park (UMD) PhD in Computer Science
Singapore University of Technology and Design (SUTD) M.Eng (Research)
University of Information and Technology (UIT), VNU-HCM B.Sc in Computer Science (Honour)

Experience

University of Maryland Teaching Assistant, 2025 - Present

CMSC848N: Generative AI Agents

Temasek Lab @ SUTD Research Assistant, 2022 - 2025
Viettel Group Intern, 2020 - 2021

Academic Services

Conference Reviewer (2025-now) NeurIPS, ICLR, ICML, ACM MM, AAAI, CVPR
Journal Reviewer (2024-now) TMM

Selected Publications (First/Joint-First Author)

SoundnessBench: Can Your AI Scientist Really Tell Good Research from Bad?

Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, Furong Huang

Under Review
Paper Dataset Project
Memory Makes The Poison: Over Memorization Drives Visual Poisoning in LVLMs

Sy-Tuyen Ho, Y.R.A. Epa, K. Liu, X. Jiang, A. Kot, F. Huang, N.M. Cheung

Under Review
Paper Project
Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment

Sy-Tuyen Ho, K.J. Hao, N.B. Nguyen, A. Binder, N.M. Cheung

CVPR 2026 Findings
Paper Code Project
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization

Sy-Tuyen Ho*, T.V. Vo*, S. Ebrahimkhani*, N.M. Cheung

NeurIPS 2024
Paper Code Project
On the Vulnerability of Skip Connections to Model Inversion Attacks

K.J. Hao*, Sy-Tuyen Ho*, N.B. Nguyen, N.M. Cheung

ECCV 2024
Paper Code Project
Model Inversion Robustness: Can Transfer Learning Help?

Sy-Tuyen Ho, K.J. Hao, K. Chandrasegaran, N.B. Nguyen, N.M. Cheung

CVPR 2024
Paper Code Project
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