57 citations · 74 across the 6 of their papers we have counts for
6 papers
FESC: Remodeling Long-Context Private Inference with Encrypted State-Space Models
Yufan Zhu, Chao Jin, Khin Mi Mi Aung +1
Processing long, sensitive documents with machine-learning models requires efficient, privacy-preserving long-context inference. Prior private inference systems optimize or distrib…
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content
Bing Liu, Shunping Wang, Yufan Zhu +5
This paper presents a survey and taxonomy of LLM fingerprinting and watermarking for identity, ownership verification, provenance, and generated-content attribution. Large language…
EncFormer: Secure and Efficient Transformer Inference over Encrypted Data
Yufan Zhu, Chao Jin, Khin Mi Mi Aung +1
Transformer inference in machine-learning-as-a-service (MLaaS) raises privacy concerns for sensitive user inputs. Prior secure solutions that combine fully homomorphic encryption (…
Quantum communication complexity of block-composed functions
Yaoyun Shi, Yufan Zhu
A major open problem in communication complexity is whether or not quantum protocols can be exponentially more efficient than classical protocols on _total_ Boolean functions in th…
Tensor Norms and the Classical Communication Complexity of Nonlocal Quantum Measurement
Yaoyun Shi, Yufan Zhu
We initiate the study of quantifying nonlocalness of a bipartite measurement by the minimum amount of classical communication required to simulate the measurement. We derive genera…
The Communication Complexity of the Hamming Distance Problem
Wei Huang, Yaoyun Shi, Shengyu Zhang +1
We investigate the randomized and quantum communication complexity of the Hamming Distance problem, which is to determine if the Hamming distance between two n-bit strings is no le…