Results 31 to 40 of about 29,077 (283)
A Shuffling Framework for Local Differential Privacy
CoRR, 2021 ldp deployments are vulnerable to inference attacks as an adversary can link the noisy responses to their identity and subsequently, auxiliary information using the order of the data. An alternative model, shuffle DP, prevents this by shuffling the noisy responses uniformly at random.
Casey Meehan +3 more
openaire +2 more sources
Local Differential Privacy for Federated Learning
, 2022 17 ...
Mahawaga Arachchige Pathum Chamikara +6 more
openaire +2 more sources
Successive Point-of-Interest Recommendation With Local Differential Privacy
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
doaj +1 more source
Local differential privacy-based frequent sequence mining
Journal of King Saud University: Computer and Information Sciences, 2022 Frequent sequence mining (FSM) is a fundamental component for analyzing sequential data in the big data era. However, collecting and analyzing sequence data incurs serious privacy issues for users.
Teng Wang, Zhi Hu
doaj +1 more source
Efficiency in local differential privacy
The Annals of StatisticsWe develop a theory of asymptotic efficiency in regular parametric models when data confidentiality is ensured by local differential privacy (LDP). Even though efficient parameter estimation is a classical and well-studied problem in mathematical statistics, it leads to several non-trivial obstacles that need to be tackled when dealing with the LDP ...
Steinberger, Lukas
openaire +4 more sources
Frequency Estimation of Evolving Data Under Local Differential Privacy
, 2023 International audienceCollecting and analyzing evolving longitudinal data has become a common practice. One possible approach to protect the users' privacy in this context is to use local differential privacy (LDP) protocols, which ensure the privacy ...
Arcolezi, Héber Hwang +3 more
core +1 more source
Local Differential Privacy Location Protection for Mobile Terminals Based on Huffman Coding [PDF]
Jisuanji kexue yu tansuoThe location information of mobile terminals is closely linked to personal privacy, which may threaten users’ life and property safety if leaked. Local differential privacy model provides strict privacy protection effect, allows users to handle and ...
YAN Yan, LYU Yaqin, LI Feifei
doaj +1 more source
Local Differential Privacy Graph Data Modeling Method for Link Prediction
Journal of Harbin University of Science and Technology, 2023 To solve the problem of node sensitive link privacy being exposed in the process of link prediction on industrial business graph data , according to the theory of local differential privacy , the shortcomings of the existing graph privacy protection ...
HANQilong, WUXiaoming
doaj +1 more source
A multimodal differential privacy framework based on fusion representation learning
, 2022 Differential privacy mechanisms vary in modalities, and there have been many methods implementing differential privacy on unimodal data. Few studies focus on unifying them to protect multimodal data, though privacy protection of multimodal data is of ...
Chaoxin Cai +5 more
core +1 more source
Comparing Local and Central Differential Privacy Using Membership Inference Attacks
, 2021 Part 1: Differential PrivacyInternational audienceAttacks that aim to identify the training data of neural networks represent a severe threat to the privacy of individuals in the training dataset.
Grassal, Philip, W. +9 more
core +1 more source