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DPHeteSem: Differentially Private Semantic Graph Release for Privacy-Preserving Data Sharing in Recommender Systems

https://doi.org/10.2139/ssrn.6828211
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00778-013-0344-8openalex-snapshot
Correlated network data publication via differential privacy
inferredcites →https://doi.org/10.1007/s10115-023-01895-6openalex-snapshot
Heterogeneous graph neural network with semantic-aware differential privacy guarantees
inferredcites →https://doi.org/10.1016/j.cose.2016.09.010openalex-snapshot
Graph similarity metrics for assessing temporal changes in attack surface of dynamic networks
inferredcites →https://doi.org/10.1016/j.cosrev.2016.05.002openalex-snapshot
A survey of active learning in collaborative filtering recommender systems
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100403openalex-snapshot
A survey of privacy-preserving mechanisms for heterogeneous data types
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.knosys.2023.110822openalex-snapshot
A heterogeneous graph neural network model for list recommendation
inferredcites →https://doi.org/10.1109/icassp.2019.8682829openalex-snapshot
Differentially Private Compressive K-means
inferredcites →https://doi.org/10.1109/icdm54844.2022.00063openalex-snapshot
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
inferredcites →https://doi.org/10.1109/isit50566.2022.9834711openalex-snapshot
Heterogeneous Differential Privacy via Graphs
inferredcites →https://doi.org/10.1109/jiot.2020.3036583openalex-snapshot
Adversarial Privacy-Preserving Graph Embedding Against Inference Attack
inferredcites →https://doi.org/10.1109/sp54263.2024.00002openalex-snapshot
SoK: Privacy-Preserving Data Synthesis
inferredcites →https://doi.org/10.1109/tce.2025.3570293openalex-snapshot
Simple Yet Effective Heterogeneous Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2017.2697856openalex-snapshot
Differentially Private Data Publishing and Analysis: A Survey
inferredcites →https://doi.org/10.1109/tkde.2018.2833443openalex-snapshot
Heterogeneous Information Network Embedding for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferredcites →https://doi.org/10.1109/tmc.2024.3514153openalex-snapshot
Differentially Private Weighted Graphs Publication Under Continuous Monitoring
inferredcites →https://doi.org/10.1109/tmm.2022.3151026openalex-snapshot
Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation
inferredcites →https://doi.org/10.1109/tnse.2020.3031179openalex-snapshot
Integrating Blockchain With Artificial Intelligence for Privacy-Preserving Recommender Systems
inferredcites →https://doi.org/10.1109/tsmc.1987.4309069openalex-snapshot
Entropy and Correlation: Some Comments
inferredcites →https://doi.org/10.1145/245108.245121openalex-snapshot
Recommender systems
inferredcites →https://doi.org/10.1145/2623330.2623642openalex-snapshot
Differentially private network data release via structural inference
inferredcites →https://doi.org/10.1145/3219819.3219965openalex-snapshot
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
inferredcites →https://doi.org/10.1145/3292500.3330961openalex-snapshot
Heterogeneous Graph Neural Network
inferredcites →https://doi.org/10.1145/3308558.3313562openalex-snapshot
Heterogeneous Graph Attention Network
inferredcites →https://doi.org/10.1145/3528667openalex-snapshot
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation
inferredcites →https://doi.org/10.1145/3539597.3570484openalex-snapshot
Heterogeneous Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferredcites →https://doi.org/10.1145/3620667openalex-snapshot
Defenses to Membership Inference Attacks: A Survey
inferredcites →https://doi.org/10.2478/popets-2020-0066openalex-snapshot
Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee
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