Results 31 to 40 of about 164,354 (261)
Frequency estimation under local differential privacy [PDF]
Proceedings of the VLDB Endowment, 2021 Private collection of statistics from a large distributed population is an important problem, and has led to large scale deployments from several leading technology companies. The dominant approach requires each user to randomly perturb their input, leading to guarantees in the local differential privacy model.
Cormode, Graham +2 more
openaire +2 more sources
Safeguarding cross-silo federated learning with local differential privacy
Digital Communications and Networks, 2022 Federated Learning (FL) is a new computing paradigm in privacy-preserving Machine Learning (ML), where the ML model is trained in a decentralized manner by the clients, preventing the server from directly accessing privacy-sensitive data from the clients.
Chen Wang +5 more
doaj +1 more source
Behavior Sequence Mining Model Based on Local Differential Privacy
IEEE Access, 2020 Most of local differential privacy frameworks target statistics on certain privacy behaviors of users, but not behavior sequence. In this paper, we explore and propose a behavior sequence mining model that satisfies the local differential privacy ...
Jianen Yan, Yan Wang, Wenling Li
doaj +1 more source
Linear and Range Counting under Metric-based Local Differential Privacy
, 2020 Local differential privacy (LDP) enables private data sharing and analytics without the need for a trusted data collector. Error-optimal primitives (for, e.g., estimating means and item frequencies) under LDP have been well studied.
Ding, Bolin +3 more
core +1 more source
Multi-level local differential privacy algorithm recommendation framework
Tongxin xuebao, 2022 Local differential privacy (LDP) algorithm usually assigned the same protection mechanism and parameters to different users.However, it ignored the differences among the device resources and the privacy requirements of different users.For this reason, a ...
Hanyi WANG +5 more
doaj +2 more sources
High-dimensional Data Publication Under Local Differential Privacy [PDF]
Jisuanji kexueWith the increasing availability of high-dimensional data collected from numerous users,preserving user privacy while utilizing high-dimensional data poses significant challenges.This paper focuses on the problem of high-dimensional data publication ...
CAI Mengnan, SHEN Guohua, HUANG Zhiqiu, YANG Yang
doaj +1 more source
K-Means Clustering with Local Distance Privacy
Big Data Mining and Analytics, 2023 With the development of information technology, a mass of data are generated every day. Collecting and analysing these data help service providers improve their services and gain an advantage in the fierce market competition.
Mengmeng Yang +2 more
doaj +1 more source
LDPORR: A localized location privacy protection method based on optimized random response
Journal of King Saud University: Computer and Information Sciences, 2023 The broad use of mobile intelligent terminals with locating functions encourages the rapid development of location-based services (LBS), which are widely used in a variety of industries such as social networking, transportation, finance, and ...
Yan Yan +4 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2020 Nowadays, wireless sensor network technology is being increasingly popular which is applied to a wide range of Internet of Things. Especially, Power Internet of Things is an important and rapidly growing section in Internet of Thing systems, which ...
Hui Cao +3 more
doaj +1 more source
On the Lift, Related Privacy Measures, and Applications to Privacy–Utility Trade-Offs
Entropy, 2023 This paper investigates lift, the likelihood ratio between the posterior and prior belief about sensitive features in a dataset. Maximum and minimum lifts over sensitive features quantify the adversary’s knowledge gain and should be bounded to protect ...
Mohammad Amin Zarrabian +2 more
doaj +1 more source