3 citations · 6 across the 10 of their papers we have counts for
10 papers
DACP: A Scientific Data Access and Collaboration Protocol
Zhihong Shen, Xiaojie Zhu, Zhenjing Cheng +3
Scientific computing is rapidly entering a data-intensive era. However, existing general-purpose network protocol stacks face limitations in eliminating data silos and improving da…
Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
Houzhe Wang, Xiaojie Zhu, Chi Chen
With the increasing importance of data privacy and security, federated unlearning has emerged as a novel research field dedicated to ensuring that federated learning models no long…
Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement
Houzhe Wang, Xiaojie Zhu, Chi Chen
With the increasing importance of data privacy and security, federated unlearning emerges as a new research field dedicated to ensuring that once specific data is deleted, federate…
ALT4Decompile: Inferring C-aligned Abstract Loop Tree for LLM-Based Binary Decompilation
Yongpan Wang, Puzhuo Liu, Xin Xu +4
Decompilation refers to the process of recovering high-level (C) language code from low-level (assembly) code. Recent Large Language Model (LLM)-based methods can generate re-execu…
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search
Yongpan Wang, Hong Li, Xiaojie Zhu +4
Binary code search plays a crucial role in applications like software reuse detection. Currently, existing models are typically based on either internal code semantics or a combina…
Goldfish: An Efficient Federated Unlearning Framework
Houzhe Wang, Xiaojie Zhu, Chi Chen +1
With recent legislation on the right to be forgotten, machine unlearning has emerged as a crucial research area. It facilitates the removal of a user's data from federated trained…
PagPassGPT: Pattern Guided Password Guessing via Generative Pretrained Transformer
Xingyu Su, Xiaojie Zhu, Yang Li +3
Amidst the surge in deep learning-based password guessing models, challenges of generating high-quality passwords and reducing duplicate passwords persist. To address these challen…
zkFaith: Soonami's Zero-Knowledge Identity Protocol
Mina Namazi, Duncan Ross, Xiaojie Zhu +1
Individuals are encouraged to prove their eligibility to access specific services regularly. However, providing various organizations with personal data spreads sensitive informati…
Privacy-Preserving Identification of Target Patients from Outsourced Patient Data
Xiaojie Zhu, Erman Ayday, Roman Vitenberg
With the increasing affordability and availability of patient data, hospitals tend to outsource their data to cloud service providers (CSPs) for the purpose of storage and analytic…
Privacy-Preserving Search for a Similar Genomic Makeup in the Cloud
Xiaojie Zhu, Erman Ayday, Roman Vitenberg +1
In this paper, we attempt to provide a privacy-preserving and efficient solution for the "similar patient search" problem among several parties (e.g., hospitals) by addressing the…