Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
Published in NeurIPS 2025, 2025
We propose SPTI, a training-free framework that shifts DP image synthesis from the image domain to the text domain, enabling high-resolution differentially private image generation with off-the-shelf models.
Recommended citation: Wang, H., Lin, Z., Yu, D., & Zhang, H. (2025). "Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries." Advances in Neural Information Processing Systems (NeurIPS). 2025.
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Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models
Preprint; under submission to NeurIPS 2026, 2026
We study dynamic boundary evaluation for language models, using skill-guided search and difficulty calibration to characterize model capabilities beyond fixed benchmarks and static worst-case attacks.
Recommended citation: Wang, H., Yu, D., & Zhang, H. (2026). "Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models." Preprint; under submission.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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