Search Results for author: Zeyu Ding

Found 6 papers, 2 papers with code

Efficient Decoder for End-to-End Oriented Object Detection in Remote Sensing Images

no code implementations29 Nov 2023 Jiaqi Zhao, Zeyu Ding, Yong Zhou, Hancheng Zhu, Wenliang Du, Rui Yao, Abdulmotaleb El Saddik

To address these limitations, we propose an end-to-end oriented detector equipped with an efficient decoder, which incorporates two technologies, Rotated RoI attention (RRoI attention) and Selective Distinct Queries (SDQ).

Decoder object-detection +2

Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment

no code implementations27 Dec 2022 Zhuoyi Tan, Hizmawati Madzin, Zeyu Ding

Therefore, in this paper, to promote the development of UW-OCTA DR automatic detection, we propose a novel semi-supervised semantic segmentation method for UW-OCTA DR image grade assessment.

Semi-Supervised Semantic Segmentation

Optimizing Fitness-For-Use of Differentially Private Linear Queries

1 code implementation30 Nov 2020 Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer

In practice, differentially private data releases are designed to support a variety of applications.

Databases

CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples

no code implementations17 Aug 2020 Yuxin Wang, Zeyu Ding, Daniel Kifer, Danfeng Zhang

We propose CheckDP, the first automated and integrated approach for proving or disproving claims that a mechanism is differentially private.

Programming Languages D.3.1

Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms

no code implementations29 Apr 2019 Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer

We show that it can also release for free the noisy gap between the approximate maximizer and runner-up.

Proving Differential Privacy with Shadow Execution

1 code implementation28 Mar 2019 Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang

Sometimes, combining those two requires substantial changes to program logics: one recent paper is able to verify Report Noisy Max automatically, but it involves a complex verification system using customized program logics and verifiers.

Programming Languages D.2.4

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