Results 1 to 10 of about 117,637 (111)
Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty [PDF]
Frontiers in Artificial IntelligenceConcerns about the trustworthiness, fairness, and privacy of AI systems are growing, and strategies for mitigating these concerns are still in their infancy.
Yanchen Wang, Lisa Singh
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Data Privacy Protection Based on Micro Aggregation with Dynamic Sensitive Attribute Updating [PDF]
Sensors, 2018 With the rapid development of information technology, large-scale personal data, including those collected by sensors or IoT devices, is stored in the cloud or data centers. In some cases, the owners of the cloud or data centers need to publish the data.
Yancheng Shi +3 more
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Journal of King Saud University: Computer and Information Sciences, 2022 Privacy Preserving Data Publishing (PPDP) is an important aspect of real world scenarios. PPDP moves the researcher in the right direction by maintaining privacy and utility trade-off while publishing the data.
N.V.S. Lakshmipathi Raju +2 more
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Privacy-Preserving Data Publishing for Multiple Numerical Sensitive Attributes
Tsinghua Science and Technology, 2015 Anonymized data publication has received considerable attention from the research community in recent years. For numerical sensitive attributes, most of the existing privacy-preserving data publishing techniques concentrate on microdata with multiple ...
Qinghai Liu, Hong Shen, Yingpeng Sang
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Privacy Preserving Data Publishing for Multiple Sensitive Attributes Based on Security Level
Information, 2020 Privacy preserving data publishing has received considerable attention for publishing useful information while preserving data privacy. The existing privacy preserving data publishing methods for multiple sensitive attributes do not consider the ...
Yuelei Xiao, Haiqi Li
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Frontiers in Marine Science, 2022 It is important to identify the location of gravelly sandstone in Taoerhe Sag, an oil target area in the Chezhen Depression. To date, most attention has focused on sedimentary characteristics; hence, information regarding a clear sensitivity analysis of ...
Na Li +7 more
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Mathematics, 2023 The randomized response technique is one of the most commonly used indirect questioning methods to collect data on sensitive characteristics in survey research covering a wide variety of statistical applications including, e.g., behavioral science, socio-
Truong-Nhat Le +3 more
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Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment
IEEE Access, 2023 With the ever-growing reliance on Artificial Intelligence (AI) across diverse domains, there is an increasing concern surrounding the possibility of biases and unfairness inherent in AI systems. Fairness problems in automatic interview assessment systems,
Changwoo Kim +4 more
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Big Data and Cognitive Computing, 2023 The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive
Tiago P. Pagano +8 more
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Local generalization and bucketization technique for personalized privacy preservation
Journal of King Saud University: Computer and Information Sciences, 2023 Anonymization technique has been extensively studied and widely applied for privacy-preserving data publishing. In most previous approaches, a microdata table consists of three categories of attributes, namely explicit-identifier, quasi-identifier (QI ...
Boyu Li, Kun He
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