A5007024359- Mobile Crowdsensing and Crowdsourcing
- Privacy-Preserving Technologies in Data
- Human Mobility and Location-Based Analysis
- Adversarial Robustness in Machine Learning
- Geotechnical Engineering and Soil Mechanics
- Indoor and Outdoor Localization Technologies
- Cryptography and Data Security
- Geotechnical Engineering and Soil Stabilization
- Privacy, Security, and Data Protection
- Geotechnical Engineering and Underground Structures
Anhui University of Science and Technology
2025
East China Jiaotong University
2023
Beijing University of Posts and Telecommunications
2022
State Key Laboratory of Networking and Switching Technology
2022
Locations are usually necessary for task allocation in spatial crowdsourcing, which may put individual privacy jeopardy without proper protection. Although existing studies have well explored the problem of location protection under geo-indistinguishability, they potentially assume workers could perform any tasks, might not be practical reality. Moreover, adopt planar laplacian mechanism to achieve will introduce excessive noise due its randomness and boundlessness. To this end, we propose a...
Truth discovery is an effective way to identify the aggregated truth of each task among multiple observed data drawn from different workers varying reliabilities. However, existing studies are insufficient protect individuals' privacy, as they either just guarantee weaker versions local differential privacy (LDP) or potentially assume that tasks independent. In this paper, we, for first time, investigate problem while achieving rigorous LDP worker with continuous inputs without independence...