Combinational Randomized Response Mechanism for Unbalanced Multivariate Nominal Attributes
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013446
Abstract: At present, many enterprises provide users with better services by collecting their sensitive information. However, these enterprises will inevitably cause the leakage of users’ information, thereby infringing on users’ privacy. Local differential privacy resolves this… read more here.
Keywords: local differential; problem; privacy budget; differential privacy ... See more keywords
Behavior Sequence Mining Model Based on Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3033987
Abstract: 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… read more here.
Keywords: local differential; behavior sequence; model; differential privacy ... See more keywords
MPLDP: Multi-Level Personalized Local Differential Privacy Method
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3430863
Abstract: Users have different sensitivities to different attributes for the same data set. Disregarding this can result in inadequate data confidentiality or reduced data availability. To address this, this paper proposes a multi-level personalized local differential… read more here.
Keywords: multi level; method; level personalized; privacy ... See more keywords
Local Differential Privacy for Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2952146
Abstract: The Internet of Things (IoT) is transforming major industries, including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continually improving with innovations, such as the amalgamation of software-defined networks (SDNs)… read more here.
Keywords: local differential; randomization module; randomization; privacy ... See more keywords
High-Dimensional Data Release With Local Differential Privacy Under IoT Architecture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3590759
Abstract: local differential privacy (LDP) mechanisms are widely used to collect data generated by IoT sensor devices to protect sensitive information. However, it easily leads to low data utility and high data computing cost due to… read more here.
Keywords: dimensional data; differential privacy; iot architecture; high dimensional ... See more keywords
Enhancing Smart Home Privacy: A Tutorial on Local Differential Privacy Techniques for Frequency and Mean Estimation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.002.2400279
Abstract: The ubiquity of Internet of Things (IoT) systems has seamlessly integrated into our daily lives, particularly in smart homes where devices continuously monitor and optimize our living environments. These systems significantly contribute to home automation,… read more here.
Keywords: smart home; home; differential privacy; privacy ... See more keywords
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning?
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.3010335
Abstract: The growing number of mobile and IoT devices has nourished many intelligent applications. In order to produce high-quality machine learning models, they constantly access and collect rich personal data such as photos, browsing history, and… read more here.
Keywords: local differential; federated machine; differential privacy; privacy ... See more keywords
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3170242
Abstract: Local Differential Privacy (LDP) is a popular standard for privacy-preserving data collection. Numerous LDP protocols have been proposed in the literature which differ in how they provide higher utility in different settings. Yet, few have… read more here.
Keywords: local differential; privacy; analysis; differential privacy ... See more keywords
Towards Private Learning on Decentralized Graphs With Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3198283
Abstract: Many real-world networks are inherently decentralized. For example, in social networks, each user maintains a local view of a social graph, such as a list of friends and her profile. It is typical to collect… read more here.
Keywords: towards private; learning decentralized; local differential; privacy ... See more keywords
MLPKV: A Local Differential Multi-Layer Private Key-Value Data Collection Scheme for Edge Computing Environments
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3256124
Abstract: The existing solutions related to local differential privacy (LDP) in multi-layer networks for edge computing scenarios present several limitations in both key-value data heavy hitter identification and related frequency and mean estimation tasks. First, existing… read more here.
Keywords: value data; multi layer; local differential; edge computing ... See more keywords
Successive Point-of-Interest Recommendation With Personalized Local Differential Privacy
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3108463
Abstract: The fast development of vehicle positioning technologies has paved the way for in-vehicle recommendation systems. Successive Point-of-Interest (POI) recommendation, one of the most common forms of in-vehicle recommendation, can help users choose places where they… read more here.
Keywords: local differential; successive point; point interest; differential privacy ... See more keywords