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Sy-Tuyen Ho

Model Inversion Robustness: Can Transfer Learning Help?
2024 · Sy-Tuyen Ho, Koh Jun Hao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 8
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A Deep Learning Approach for Text Segmentation in Document Analysis
2020 · Van-Linh Pham, Xuan-Phung Pham, et al. · International Conference on Advanced Computing and Applications (ACOMP) · 8
Multilingual-GAN: A Multilingual GAN-based Approach for Handwritten Generation
2021 · Manh-Khanh Ngo Huu, Sy-Tuyen Ho, et al. · International Conference on Multimedia Analysis and Pattern Recognition (MAPR) · 5
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
2024 · Sy-Tuyen Ho, Tuan Van Vo, et al. · neural information processing systems · 2
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Abstraction-perception preserving cartoon face synthesis
2023 · Sy-Tuyen Ho, Manh-Khanh Ngo Huu, et al. · Multimedia Tools and Applications · 2
Interpolation based Anime Face Style Transfer
2020 · Sy Tuyen Ho, Vinh-Tiep Nguyen, et al. · International Conference on Multimedia Analysis and Pattern Recognition (MAPR) · 2
On the Vulnerability of Skip Connections to Model Inversion Attacks
2024 · Koh Jun Hao, Sy-Tuyen Ho, et al. · Lecture notes in computer science · 1
SpectralCanary: Embarrassingly Simple Low-Frequency Traces for T2I Dataset-Use Auditing
2026 · Ho, Sy-Tuyen, Satheesh, Anirudh, et al. · arXiv (Cornell University)
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When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation
2026 · Ho, Sy-Tuyen, Liu, Minghui, et al. · arXiv (Cornell University)
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Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
2026 · Nghiem, Huy, Ho, Sy-Tuyen, et al. · arXiv (Cornell University)
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SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?
2026 · Ho, Sy-Tuyen, Liu, Minghui, et al. · arXiv (Cornell University)
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Agentic Critical Training
2026 · Liu, Weize, Liu, Minghui, et al. · arXiv (Cornell University)
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Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
2026 · Huy Nghiem, Phuong-Anh Nguyen-Le, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
2026 · Nghiem, Huy, Sy-Tuyen Ho, et al.
Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
2025 · Nguyen, Ngoc-Bao, Ho, Sy-Tuyen, et al. · arXiv (Cornell University)
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Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment
2025 · Ho, Sy-Tuyen, Hao, Koh Jun, et al. · arXiv (Cornell University)
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On the Vulnerability of Skip Connections to Model Inversion Attacks
2024 · Koh, Jun Hao, Ho, Sy-Tuyen, et al. · arXiv (Cornell University)
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Works count: 17
Citation count: 28
H-index: 3
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