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Di Xiao

4 accepted papers

2025

Federated Cross-Client Collaborative Filtering with Tensor Compressive Learning

ICASSP 2025accepted

Federated collaborative filtering enables privacy-preserving recommendation systems but faces challenges in capturing high-order interactions, reducing communication overhead, and minimizing accuracy degradation. To address these issues, we propose Federated Compressive Collaborative Filtering (FCCF…

Cited by 0SourceScholar
2024

"Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction"

ECCV 2024poster

"This paper introduces RDA, a pioneering approach designed to address two primary deficiencies prevalent in previous endeavors aiming at stealing pre-trained encoders: (1) suboptimal performances attributed to biased optimization objectives, and (2) elevated query costs stemming from the end-to-end…

2023

Robust Watermarking Scheme in Encrypted Domain Based on Integer Lifting Wavelet Transform and Compressed Sensing

ICASSP 2023accepted

Watermarking schemes in plaintext domain usually suffer from high exposure risk of the cover signal. Data hiding in encrypted image (DHEI) can guarantee the security of the cover signal by embedding secret information into encrypted signal. Based on the above, we propose a robust watermarking scheme…

Cited by 0SourceScholar
2021

Low Complexity Secure P-Tensor Product Compressed Sensing Reconstruction Outsourcing and Identity Authentication in Cloud

ICASSP 2021accepted

Although P-tensor product compressed sensing (PTP-CS) breaks the strict dimension matching restriction between measurement matrix and signal in multiplication, it still faces the huge resource consumption problems of the frequent update and transmission of measurement matrix and signal reconstructio…

Cited by 0SourceScholar