24 citations · 28 across the 9 of their papers we have counts for
9 papers
Provenance-based Classification Policy based on Encrypted Search
Xinyu Fan, Faen Zhang, Jiahong Wu +1
As an important type of cloud data, digital provenance is arousing increasing attention on improving system performance. Currently, provenance has been employed to provide cues reg…
A fine-grained policy model for Provenance-based Access Control and Policy Algebras.pdf
Xinyu Fan, Faen Zhang, Jianfei Song +2
A fine-grained provenance-based access control policy model is proposed in this paper, in order to improve the express performance of existing model. This method employs provenance…
PACLP: a fine-grained partition-based access control policy language for provenance
Xinyu Fan, Faen Zhang, Jianfei Song +2
Even though the idea of partitioning provenance graphs for access control was previously proposed, employing segments of the provenance DAG for fine-grained access control to prove…
On the Security of A Remote Cloud Storage Integrity Checking Protocol
Faen Zhang, Xinyu Fan, Pengcheng Zhou +1
Data security and privacy is an important but challenging problem in cloud computing. One of the security concerns from cloud users is how to efficiently verify the integrity of th…
Zero knowledge proofs for cloud storage integrity checking
Faen Zhang, Xinyu Fan, Pengcheng Zhou +1
With the wide application of cloud storage, cloud security has become a crucial concern. Related works have addressed security issues such as data confidentiality and integrity, wh…
Purpose-based access policy on provenance and data algebra
Faen Zhang, Xinyu Fan, Wenfeng Zhou +1
It is a crucial mechanism of access control to determine that data can only be accessed for allowed purposes. To achieve this mechanism, we propose purpose-based access policies in…
Regression via Arbitrary Quantile Modeling
Faen Zhang, Xinyu Fan, Hui Xu +3
In the regression problem, L1 and L2 are the most commonly used loss functions, which produce mean predictions with different biases. However, the predictions are neither robust no…
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
Xinyu Fan
To deal with various datasets over different complexity, this paper presents an self-adaptive learning model that combines the proposed Dynamic Connected Neural Decision Networks (…
Accurate Face Detection for High Performance
Faen Zhang, Xinyu Fan, Guo Ai +3
Face detection has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs). Its central issue in recent years is how to improve the detectio…