Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning for synthetic data generation: a review
Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …
data-related issues. These include data of poor quality, insufficient data points leading to …
Location privacy-preserving mechanisms in location-based services: A comprehensive survey
Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …
Trustworthy distributed ai systems: Robustness, privacy, and governance
Emerging Distributed AI systems are revolutionizing big data computing and data
processing capabilities with growing economic and societal impact. However, recent studies …
processing capabilities with growing economic and societal impact. However, recent studies …
Sok: Privacy-preserving data synthesis
As the prevalence of data analysis grows, safeguarding data privacy has become a
paramount concern. Consequently, there has been an upsurge in the development of …
paramount concern. Consequently, there has been an upsurge in the development of …
Ldptrace: Locally differentially private trajectory synthesis
Trajectory data has the potential to greatly benefit a wide-range of real-world applications,
such as tracking the spread of the disease through people's movement patterns and …
such as tracking the spread of the disease through people's movement patterns and …
{PrivTrace}: Differentially Private Trajectory Synthesis by Adaptive Markov Models
Publishing trajectory data (individual's movement information) is very useful, but it also
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …
Synthesizing realistic trajectory data with differential privacy
Vehicle trajectory data is critical for traffic management and location-based services.
However, the released trajectories raise serious privacy concerns because they contain …
However, the released trajectories raise serious privacy concerns because they contain …
L-srr: Local differential privacy for location-based services with staircase randomized response
Location-based services (LBS) have been significantly developed and widely deployed in
mobile devices. It is also well-known that LBS applications may result in severe privacy …
mobile devices. It is also well-known that LBS applications may result in severe privacy …
Generative models for synthetic urban mobility data: A systematic literature review
Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
openly available, as it contains sensitive personal information. Synthetic data aims to solve …
{PrivGraph}: differentially private graph data publication by exploiting community information
Graph data is used in a wide range of applications, while analyzing graph data without
protection is prone to privacy breach risks. To mitigate the privacy risks, we resort to the …
protection is prone to privacy breach risks. To mitigate the privacy risks, we resort to the …