Results 1 to 10 of about 1,035,049 (261)
Efficacy of Synthetic Data as a Benchmark
CoRRLarge language models (LLMs) have enabled a range of applications in zero-shot and few-shot learning settings, including the generation of synthetic datasets for training and testing. However, to reliably use these synthetic datasets, it is essential to understand how representative they are of real-world data.
Gaurav Maheshwari 0005 +2 more
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GenAI-Based Jamming and Spoofing Attacks on UAVs
IEEE AccessRecently, aerial vehicles have been more connected than ever, where there are many types of the vehicles. Uncrewed Aerial Vehicles (UAVs) operate on various environments with different technologies that are subject to many attacks.
Burcu Sonmez Sarikaya, Serif Bahtiyar
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Shapes and frictions of synthetic data
Big Data & SocietySynthetic data are computer-generated data that mimic and substitute empirical observations without directly corresponding to real-world phenomena. Widely used in privacy protection, machine learning, and simulation, synthetic data is an emerging field only just beginning to be explored in the social sciences and critical data studies.
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The Synthetic Mirror - Synthetic Data at the Age of Agentic AI
Synthetic data, which is artificially generated and intelligently mimicking or supplementing the real-world data, is increasingly used. The proliferation of AI agents and the adoption of synthetic data create a synthetic mirror that conceptualizes a representation and potential distortion of reality, thus generating trust and accountability deficits ...
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Synthetic data in medical research
BMJ Medicine, 2022 Theodora Kokosi, Katie Harron
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Opinion: Mental health research: to augment or not to augment
Frontiers in PsychiatryArgyrios Perivolaris +15 more
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Synthetic Data, Synthetic Media, and Surveillance
Surveillance & SocietyAaron Martin, Bryce Newell
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Some of the next articles are maybe not open access.
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
The goal of this paper is to build a system that automatically creates synthetic data to enable data science endeavors. To achieve this, we present the Synthetic Data Vault (SDV), a system that builds generative models of relational databases. We are able to sample from the model and create synthetic data, hence the name SDV. When implementing the SDV,
Neha Patki +2 more
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The goal of this paper is to build a system that automatically creates synthetic data to enable data science endeavors. To achieve this, we present the Synthetic Data Vault (SDV), a system that builds generative models of relational databases. We are able to sample from the model and create synthetic data, hence the name SDV. When implementing the SDV,
Neha Patki +2 more
openaire +1 more source
Annual Review of Statistics and Its Application, 2021
Demand for access to data, especially data collected using public funds, is ever growing. At the same time, concerns about the disclosure of the identities of and sensitive information about the respondents providing the data are making the data collectors limit the access to data.
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Demand for access to data, especially data collected using public funds, is ever growing. At the same time, concerns about the disclosure of the identities of and sensitive information about the respondents providing the data are making the data collectors limit the access to data.
openaire +1 more source