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Home/Authors/Yufan Zhu

Yufan Zhu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2NLP×1ML×1

Frequent co-authors

Bing Liu1×
Shunping Wang1×
Xinyi Yu1×
Jing Huang1×
Linkang Du1×
Hongbin Pei1×

Research Timeline

2026
EncFormer: Secure and Efficient Transformer Inference over Encrypted Data

EncFormer is a novel two-party framework that significantly improves the efficiency and scalability of private Transformer inference by optimizing the combination of Fully Homomorphic Encryption (FHE) and Secure Multiparty Computation (MPC).

Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content

This paper introduces 'implicit identity' as a unifying framework to survey and categorize LLM fingerprinting and watermarking techniques for verifying ownership and provenance across datasets, models, and generated content.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.CLcs.LGRecentMay 28, 2026

Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content

Bing Liu, Shunping Wang, Yufan Zhu, Xinyi Yu +4 more

This paper introduces 'implicit identity' as a unifying framework to survey and categorize LLM fingerprinting and watermarking techniques for verifying ownership and provenance across datasets, models…

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cs.CRRecentApr 11, 2026

EncFormer: Secure and Efficient Transformer Inference over Encrypted Data

Yufan Zhu, Chao Jin, Khin Mi Mi Aung, Xiaokui Xiao

EncFormer is a novel two-party framework that significantly improves the efficiency and scalability of private Transformer inference by optimizing the combination of Fully Homomorphic Encryption (FHE)…

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