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A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis in Crowdsensing
Collecting and analyzing massive data generated from smart devices have ...
10/11/2020 ∙ by Teng Wang, et al. ∙
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Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
This technical report presents a brief description of our submission to ...
06/21/2020 ∙ by Teng Wang, et al. ∙
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Local Differential Privacy based Federated Learning for Internet of Things
Internet of Vehicles (IoV) is a promising branch of the Internet of Thin...
04/19/2020 ∙ by fcq, et al. ∙
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Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Differential privacy provides a rigorous framework to quantify data priv...
11/27/2019 ∙ by Jun Zhao, et al. ∙
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Conditional Analysis for Key-Value Data with Local Differential Privacy
Local differential privacy (LDP) has been deemed as the de facto measure...
07/11/2019 ∙ by Lin Sun, et al. ∙
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Locally Differentially Private Data Collection and Analysis
Local differential privacy (LDP) can provide each user with strong priva...
06/05/2019 ∙ by Teng Wang, et al. ∙
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Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
With the rapid development of artificial intelligence (AI), ethical issu...
06/04/2019 ∙ by Teng Wang, et al. ∙
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A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities
With the rapid development of in-depth learning, neural network and deep...
12/25/2018 ∙ by Teng Wang, et al. ∙
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Development of a Burst Buffer System for Data-Intensive Applications
Modern parallel filesystems such as Lustre are designed to provide high,...
05/07/2015 ∙ by Teng Wang, et al. ∙
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