Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Censoring Survival Data01:09

Censoring Survival Data

241
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
241
Differential Leveling01:12

Differential Leveling

314
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
314

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications.

Proceedings of machine learning research·2026
Same author

GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction.

Proceedings. IEEE International Conference on Data Mining·2026
Same author

ICAD: A Self-Supervised Autoregressive Approach for Multi-Context Anomaly Detection in Human Mobility Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

One Model, Many Cities: A Transferable Social Relationship Inference Framework for Human Mobility Data.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026
Same author

WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series.

Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data·2026
Same journal

Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut.

Proceedings of the ACM on management of data·2024
Same journal

NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks.

Proceedings of the ACM on management of data·2024
查看所有相关文章

相关实验视频

Updated: Sep 13, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K

对空间时间数据释放的神经方法与用户级差异性隐私.

Ritesh Ahuja1, Sepanta Zeighami1, Gabriel Ghinita2

  • 1Department of Computer Science, Viterbi School of Engineering, University of Southern California, USA.

Proceedings of the ACM on management of data
|July 31, 2025
PubMed
概括
此摘要是机器生成的。

差异隐私 (DP) 与用户级位置数据实用性相斗争. 一种新的变化自动编码器 (VAE) 方法提高了空间时间数据发布的准确性和隐私性.

关键词:
不同的隐私差异性隐私.神经网络的神经网络的神经网络时间空间数据 时间空间数据

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.8K
Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

9.9K

相关实验视频

Last Updated: Sep 13, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.7K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.8K
Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
10:05

Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia

Published on: January 27, 2018

9.9K

科学领域:

  • 数据隐私 数据隐私
  • 机器学习 机器学习
  • 时间空间数据分析.

背景情况:

  • 来自Meta和谷歌等公司的公开发布的总体位置数据支持运输,公共卫生和城市规划领域的应用.
  • 差异隐私 (DP) 是保护个人位置数据的标准,但当前的方法在用户级隐私 (每个人多个报告) 下减少了数据实用性.
  • 现有的"数据为善"倡议经常使用高隐私预算 (ε=10-100),损害用户隐私.

研究的目的:

  • 提出一种新的方法,用于私有和准确的空间时间数据的释放,解决当前DP方法的用户级隐私的局限性.
  • 提高差异性私有位置数据的实用性,同时保持强大的隐私保证.

主要方法:

  • 使用变异自动编码器 (VAE),一种神经网络,以利用模式识别能力.
  • 应用VAE来减少DP机制带来的噪声,从而提高数据的准确性.
  • 将DP与VAE集成,以满足隐私要求,同时提高数据实用性.

主要成果:

  • 拟议的基于VAE的方法与现有的基准相比,显著提高了发布的时空数据的准确性.
  • 该方法有效地减少了DP机制固有的噪声,当处理多个数据点每用户.
  • 对现实数据集的实验评估表明了VAE增强的DP方法的优越性.

结论:

  • 这种基于VAE的新方法为私人时空数据发布提供了优越的解决方案,平衡了准确性和隐私.
  • 这种方法克服了在用户级隐私场景中传统DP方法的公用事业隐私权权衡局限性.
  • 这些发现表明,有希望的方向可以加强"数据为善"倡议的实际应用.