Results 101 to 110 of about 23,626,077 (284)

Extending Suppression for Anonymization on Set-Valued Data

open access: yes, 2012
[[abstract]]Anonymization on relational data to protect privacy against re-identification attacks has been studied extensively in recent years. The problem has been shown to be NP-hard and several heuristic and approximation algorithms have been ...
洪宗貝   +3 more
core  

IPBES Data Management Tutorials - Session 3.5: Data management report details: Sensitive data, anonymization, and ethical considerations

open access: yes, 2020
The IPBES data management tutorials are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples. The IPBES data management reports
IPBES task force on knowledge and data   +1 more
core   +1 more source

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

open access: yesAdvanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo   +12 more
wiley   +1 more source

Anonymization of Data from Field Operational Tests

open access: yes, 2016
Data anonymization is a rising topic and is included in the EU's ITS directive. It brings new requirements for products and projects. Plans to arrange Field Operational Tests on connected ITS systems and automated driving are part of the European H2020 ...
Gellerman, H   +4 more
core   +4 more sources

BangA: An Efficient and Flexible Generalization-Based Algorithm for Privacy Preserving Data Publication

open access: yesComputers, 2017
Privacy-Preserving Data Publishing (PPDP) has become a critical issue for companies and organizations that would release their data. k-Anonymization was proposed as a first generalization model to guarantee against identity disclosure of individual ...
Adeel Anjum, Guillaume Raschia
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Two Privacy-Preserving Approaches for Publishing Transactional Data Streams

open access: yesIEEE Access, 2018
Recently, data mining over transactional data streams has become an attractive research area. However, releasing raw transactional data streams, in which only explicit identifying information must be removed, may compromise individual privacy.
Jinyan Wang, Chaoji Deng, Xianxian Li
doaj   +1 more source

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