Crowdsourcing has significantly motivated the development of meteorological services.
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …

In this paper, we explore data poisoning attacks and their defenses in local differential
privacy (LDP)-based crowdsensing systems. First, we construct data poisoning attacks …

Whether Large Language Models (LLMs) can outperform crowdsourcing on the data
annotation task is attracting interest recently. Some works verified this issue with the average …

Many aspects of the design of efficient crowdsourcing processes, such as defining worker's
bonuses, fair prices and time limits of the tasks, involve knowledge of the likely duration of …

We consider the crowdsourcing setting where, in response to the assigned tasks, agents
strategically decide both how much effort to exert (from a continuum) and whether to …

Enforcing end-to-end data encryption is vital for protecting the interests of requesters in
crowdsourcing services, who initiate crowdsourcing tasks and need to pay the service …

Majority voting is a simple mathematical function that returns the most frequently occurring
value within a given set. As a popular decision fusion technique (DFT), the majority voting …

Crowdsourcing involves employing a large number of workers, creating HITs (Human
Intelligent Tasks), submitting them to a crowdsourcing platform and providing a monetary …

T his thesis navigates the evolving landscape of crowdsourcing web applications, focusing
on optimizing the selection, integration, and aggregation processes essential for enhancing …

Crowdsourcing is an effective means of accomplishing human intelligence tasks by
leveraging the collective wisdom of crowds. Given reports of various accuracy degrees from …