Results 61 to 70 of about 9,107,365 (284)
Optimization-Based k-Anonymity Algorithms
Computers & Security, 2020 <p>In this paper we present a formulation of <em>k</em>-anonymity as a mathematical <a href="https://www.sciencedirect.com/topics/computer-science/optimization-problem" target="_blank">optimization problem</a>. In solving this formulated problem, <em>k</em>-anonymity is achieved while maximizing the utility of ...
Yuting Liang, Reza Samavi
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Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
Advanced Robotics Research, EarlyView.In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
A Differentially Private (Random) Decision Tree without Noise from k-Anonymity
Applied SciencesThis paper focuses on the relationship between decision trees, a typical machine learning method, and data anonymization. It is known that information leaked from trained decision trees can be evaluated using well-studied data anonymization techniques ...
Atsushi Waseda, Ryo Nojima, Lihua Wang
doaj +1 more source
k-Anonymity Location Privacy Algorithm Based on Clustering
IEEE Access, 2018 The accuracy of user location information is inversely proportional to the user's privacy preserving degree k, and is proportional to quality of query service.
Lijuan Zheng +5 more
doaj +1 more source
Generalization-Based k-Anonymization [PDF]
, 2015 Peer ...
Eva Armengol, Vicenç Torra
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Distribution‐preserving k‐anonymity [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2018 Preserving the privacy of individuals by protecting their sensitive attributes is an important consideration during microdata release. However, it is equally important to preserve the quality or utility of the data for at least some targeted workloads. We propose a novel framework for privacy preservation based on the k‐anonymity model that is ideally ...
Dennis Wei +2 more
openaire +4 more sources
Advanced Robotics Research, EarlyView.WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley +1 more source
An efficient clustering method for k-anonymization [PDF]
Proceedings of the 2008 international workshop on Privacy and anonymity in information society, 2008 The k-anonymity model is a privacy-preserving approach that has been extensively studied for the past few years. To minimize the information loss due to anonymization, it is crucial to group similar data together and then anonymize each group individually. This work proposes a clustering-based k-anonymization method that runs in O(n2/k) time.
Jun-Lin Lin, Meng-Cheng Wei
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Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source