Related Publications
Semantics-Preserving Bag-of-Words Models and Applications
The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that ...
G-neighbors
Image processing often involves operations using `neighbor' pixels. This paper combines the usual definition of 4 or 8 connected neighbors with image information to produce loca...
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
Federated learning (FL), as a type of distributed machine learning, is capable of significantly preserving clients’ private data from being exposed to adversaries. Ne...
Fast approximate energy minimization via graph cuts
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A common constraint is that the labels should vary smoothly almost everywhere while p...
A learning theory approach to noninteractive database privacy
In this article, we demonstrate that, ignoring computational constraints, it is possible to release synthetic databases that are useful for accurately answering large classes of...
Publication Info
- Year
- 2025
- Type
- article
- Volume
- 130
- Pages
- 110896-110896
- Citations
- 0
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
0
OpenAlex
0
Influential
0
CrossRef
Cite This
Rui‐Hua Xu,
Qiuyu Zhang,
Zhaoheng Chen
(2025).
Privacy-preserving medical image retrieval with traceability and verifiability.
Computers & Electrical Engineering
, 130
, 110896-110896.
https://doi.org/10.1016/j.compeleceng.2025.110896
Identifiers
- DOI
- 10.1016/j.compeleceng.2025.110896