MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain

[1]  Jessie Hui Wang,et al.  USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training , 2022, Inf. Sci..

[2]  Shahab Saquib Sohail,et al.  Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives , 2022, Comput. Secur..

[3]  Xiaojiang Du,et al.  TPPR: A Trust-Based and Privacy-Preserving Platoon Recommendation Scheme in VANET , 2022, IEEE Transactions on Services Computing.

[4]  Pavlos S. Efraimidis,et al.  FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence , 2021, Inf. Sci..

[5]  Abbes Amira,et al.  Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities , 2021, Comput. Sci. Rev..

[6]  Cristina Regueiro,et al.  Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption , 2021, Inf. Process. Manag..

[7]  Jing Peng,et al.  A Privacy-preserving Location Recommendation Scheme without Trustworthy Entity , 2021, 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

[8]  Yu Wang,et al.  DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN , 2021, CIKM.

[9]  Chen Gao,et al.  Cross-domain Recommendation with Bridge-Item Embeddings , 2021, ACM Trans. Knowl. Discov. Data.

[10]  Taiwo Blessing Ogunseyi,et al.  A privacy-preserving framework for cross-domain recommender systems , 2021, Comput. Electr. Eng..

[11]  Xianxian Li,et al.  POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation , 2021, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[12]  Wanchun Dou,et al.  Privacy-Aware Cross-Platform Service Recommendation Based on Enhanced Locality-Sensitive Hashing , 2021, IEEE Transactions on Network Science and Engineering.

[13]  Peter B. Foytik,et al.  A blockchain empowered and privacy preserving digital contact tracing platform , 2021, Information Processing & Management.

[14]  Chuhan Wu,et al.  A federated graph neural network framework for privacy-preserving personalization , 2021, Nature Communications.

[15]  Xiangliang Zhang,et al.  Graph Embedding for Recommendation against Attribute Inference Attacks , 2021, WWW.

[16]  Yang Liu,et al.  A Blockchain-based Privacy-Preserving Recommendation Mechanism , 2021, 2021 IEEE 5th International Conference on Cryptography, Security and Privacy (CSP).

[17]  Qi Li,et al.  Data Poisoning Attacks to Deep Learning Based Recommender Systems , 2021, NDSS.

[18]  Xinhong Hei,et al.  A trusted recommendation scheme for privacy protection based on federated learning , 2020, CCF Transactions on Networking.

[19]  Md Zakirul Alam Bhuiyan,et al.  Integrating Blockchain With Artificial Intelligence for Privacy-Preserving Recommender Systems , 2020, IEEE Transactions on Network Science and Engineering.

[20]  Tao Xiang,et al.  A training-integrity privacy-preserving federated learning scheme with trusted execution environment , 2020, Inf. Sci..

[21]  Hui Li,et al.  Attacking Recommender Systems with Augmented User Profiles , 2020, CIKM.

[22]  Chunyan Miao,et al.  Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph , 2020, IEEE Transactions on Knowledge and Data Engineering.

[23]  Chuhan Wu,et al.  Privacy-Preserving News Recommendation Model Learning , 2020, FINDINGS.

[24]  Chaochao Chen,et al.  Practical Privacy Preserving POI Recommendation , 2020, ACM Trans. Intell. Syst. Technol..

[25]  Jia Liu,et al.  Influence Function based Data Poisoning Attacks to Top-N Recommender Systems , 2020, WWW.

[26]  Zibin Zheng,et al.  Blockchain-Based Credible and Privacy-Preserving QoS-Aware Web Service Recommendation , 2019, BlockSys.

[27]  Huan Liu,et al.  Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning , 2019, WSDM.

[28]  Md Zakirul Alam Bhuiyan,et al.  Towards Privacy-preserving Recommender System with Blockchains , 2019, DependSys.

[29]  Song Han,et al.  Deep Leakage from Gradients , 2019, NeurIPS.

[30]  Jure Leskovec,et al.  Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems , 2019, KDD.

[31]  Minyi Guo,et al.  Knowledge Graph Convolutional Networks for Recommender Systems , 2019, WWW.

[32]  Philippe Cudré-Mauroux,et al.  Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation , 2019, IEEE Transactions on Knowledge and Data Engineering.

[33]  Qiang Yang,et al.  Federated Machine Learning , 2019, ACM Trans. Intell. Syst. Technol..

[34]  Minyi Guo,et al.  Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation , 2019, WWW.

[35]  Rui Zhang,et al.  A Hybrid Approach to Privacy-Preserving Federated Learning , 2018, Informatik Spektrum.

[36]  Xianxian Li,et al.  M-generalization for multipurpose transactional data publication , 2018, Frontiers of Computer Science.

[37]  Jinjun Chen,et al.  A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment , 2018, Future Gener. Comput. Syst..

[38]  Xiaokui Xiao,et al.  Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy , 2018, IEEE Transactions on Knowledge and Data Engineering.

[39]  Minyi Guo,et al.  RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems , 2018, CIKM.

[40]  Rachel Pottinger,et al.  A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage , 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

[41]  Shou-De Lin,et al.  Towards a More Reliable Privacy-preserving Recommender System , 2017, Inf. Sci..

[42]  Peng Jiang,et al.  A Survey on the Security of Blockchain Systems , 2017, Future Gener. Comput. Syst..

[43]  Zhiyuan Liu,et al.  Learning Entity and Relation Embeddings for Knowledge Graph Completion , 2015, AAAI.

[44]  Licia Capra,et al.  Temporal diversity in recommender systems , 2010, SIGIR.

[45]  Cossi Blaise Avoussoukpo,et al.  Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation , 2021, IEEE Access.