2023.9.7
A Traceable and Revocable Ciphertext-Policy Attribute-based Encryption Scheme Based on Privacy Protection （TDSC）
2023.8.24
Efficient Privacy-Preserving Inference Outsourcing for Convolutional Neural Networks（TIFS）
2023.7.5
Privacy-Preserving Graph Neural Network for Node Classification (IJCAI)
2023.6.25
Securely and Efficiently Outsourcing Decision Tree Inference (TDSC)
2023.5.25
Layer-wised Model Aggregation for Personalized Federated Learning (CVPR)
2023.5.11
Accountable Attribute-Based Data-Sharing Scheme Based on Blockchain for Vehicular Ad Hoc Network (IoT)
2023.4.27
Privacy-Preserving cloud-Aided broad learning system（Computers & Security）
2023.4.20
可验证的隐私保护联邦学习研究（硕士毕业论文）
2023.4.6
基于区块链的数据共享与联邦学习研究（硕士毕业论文）
2023.3.15
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service (TSC)
2023.3.1
Achieve efficient and privacy-preserving neural network training and prediction in cloud environment (TDSC)
2023.2.22
Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation（IEEE Transactions on Network Science and Engineering ）
2023.2.15
CPFL: An Effective Secure Cognitive Personalized Federated Learning Mechanism for Industry 4.0 (TII)
2023.1.4
Secure Data Sharing: Blockchain-Enabled Data Access Control Framework for IoT (IoT)
2022.12.14
MUSE: Secure Inference Resilient to Malicious Clients (USENIX)
2022.11.30
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection (TDSC)
2022.11.22
Anonymous and Efficient Authentication Scheme for Privacy-Preserving Distributed Learning（TIFS）
2022.11.8
Privacy-Enhanced and Verification-Traceable Aggregation for Federated Learning（IoT）
2022.10.25
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud（S&P）
2022.10.18
Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications（TII）
2022.10.11
VERSA: Verifiable Secure Aggregation for Cross-Device Federated Learning（TDSC）
2022.9.30
A Lightweight and Verifiable Access Control Scheme with Constant Size Ciphertext in Edge Computing Assisted IoT (IoT)
2022.9.18
CORK: A privacy-preserving and lossless federated learning scheme for deep neural network (Infor. Sci.)
2022.8.4
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning (TIFS)
2022.7.28
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud (TSC)
2022.7.21
Privacy-Preserving and Outsourced Multi-party K-means Clustering based on Multi-key Fully Homomorphic Encryption (TDSC)
2022.7.14
Privacy-preserving and verifiable deep learning inference based on secret sharing (Neural computing)
2022.6.30
DetectPMFL: Privacy-Preserving Momentum Federated Learning Considering Unreliable Industrial Agents（TII）
2022.6.23
A Secure and Efficient Decentralized Access Control Scheme Based on Blockchain for Vehicular Social Networks (IoT)
2022.6.16
Practical Privacy-Preserving Federated Learning in Vehicular Fog Computing (TRANSACTIONS ON VEHICULAR TECHNOLOGY)
2022.6.9
An Efficient Content Popularity Prediction of Privacy Preserving Based on Federated Learning and Wasserstein GAN (IoT)
2022.6.2
Biscotti: A Blockchain System for Private and Secure Federated Learning（IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS）
2022.5.19
Achieving Privacy-Preserving Online Diagnosis with Outsourced SVM in Internet of Medical Things Environment（TDSC）
2022.5.12
ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning（TIFS）
2022.5.5
Attribute-Based Secure Announcement Sharing Among Vehicles Using Blockchain(IOT)
2022.4.28
Securely Outsourcing Neural Network Inference to the Cloud with Lightweight Techniques (TDSC)
2022.4.23
Privacy-Preserving Federated Deep Learning With Irregular Users (TDSC)
2022.4.14
Deepchain: Auditable and privacy-preserving deep learning with blockchain-based incentive(TDSC)
2022.4.9
Blockchain-cloud transparent dta marketing consortium management and fairness (Trans. on Computers)
2022.4.1
Non-interactive verfiable privacy-preserving federated leanring(Future generation computer systems)
2022.3.27
Lightweight privacy-preserving GAN framework for model training and image synthesis(TIFS)
2022.3.17
Redactable Blockchain in Decentralized Setting (TIFS)
2022.3.10
Efficient Privacy-Preserving Federated Learning with Unreliable Users(IoT)
2022.2.24
A Verifiable Privacy-preserving Machine Learning Prediction Scheme for Edge-enhanced HCPSs(TII)
2022.2.17
Privacy-Enhanced Federated Learning Against Poisoning Adversaries (TIFS)
2022.1.13
Achieving privacy-preserving and verifiable data sharing in vehicular fog with blockchain (Trans. on intelligent transportation systems)
2021.12.30
An Efficient and Privacy-Preserving Outsourced Support Vector Machine Training for Internet of Medical Things(IoT)
2021.12.23
Verifiable Privacy-preserving Scheme based on Vertical Federated Random Forest(IoT)
2021.12.16
Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT(TII)
2021.12.9
Secure Crowdsensed Data Trading Based on Blockchain (TRANSACTIONS ON MOBILE COMPUTING)
2021.12.2
Privacy-Preserving Machine Learning Training in IoT Aggregation Scenarios(IoT)
2021.11.23
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions(TDSC)
2021.11.16
K-Time Modifiable and Epoch-Based Redactable Blockchain(TIFS)
2021.11.9
Efficient and Privacy-Preserving Online Fingerprint Authentication Scheme over Outsourced Data(TCC)
2021.10.26
Privacy-preserving federated learning in fog computing(IoT)
2021.10.19
Practical Privacy-Preserving Face Authentication for Smartphones Secure Against Malicious Clients(TIFS)
2021.10.12
Adaptive and blind regression for mobile crowd sensing(IEEE trans. on mobile computing)
2021.9.28
VFL: A Verfiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT (TII).
2021.9.22
Cpds: Enabling Compressed and Private Data Sharing for Industrial Internet of Things Over Blockchain(TII)
2021.9.15
A Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles (IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS)
2021.9.7
A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent (Information Sci.)
2021.8.29
A Lightweight Privacy-Preserving CNN Feature Extraction Framework for Mobile Sensing（TDSC）
2021.8.22
A trustworthy industryal data management scheme based on reductable blockchain（J Parallel Distributed Comp.）
2021.7.29
A Privacy-Preserving Image Retrieval Scheme Using Secure Local Binary Pattern in Cloud Computing(Transactions on Network Science and Engineering)
2021.7.15
PRIVFACE: Fast Privacy-preserving Face Authentication with Revocable and Reusable Biometric Credentials(TDSC)
2021.7.8
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets(TDSC)
2021.7.1
VERIFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning(TIFS)
2021.6.24
Scalable and redactable blockchain with update and anonymity(InfoS)
2021.6.17
Decentralized Privacy-Preserving Fair Exchange Scheme for V2G Based on Blockchain(TDSC)
2021.6.2
Secure Metering Data Aggregation With Batch Verification in Industrial Smart Grid(TII)
2021.5.19
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions(TDSC)
2021.5.12
Quantum resistant key-exposure free chameleon hash and applications in redactable blockchain(InfoS)
2021.5.6
Practical Privacy-Preserving MapReduce Based K-Means Clustering Over Large-Scale Dataset(TCC)
2021.4.29
Towards Secure and Efficient Outsourcing of Machine Learning Classification(European Symposium on Research in Computer Security)
2021.4.22
Highly Secure Privacy-Preserving Outsourced k-Means Clustering under Multiple Keys in Cloud Computing(Security and Communication Networks)
2021.4.15
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence(TII)
2021.4.8
Redactable Blockchain Supporting Supervision and Self-Management(ACM Asia Conference on Computer and Communications Security)
2021.4.1
A Blockchain-Based Multi-Cloud Storage Data Auditing Scheme to Locate Faultse(TCC)
2021.3.4
Secure and Efficient KNN Classification for Industrial Internet of Things(IoT)
2021.2.25
SecureTrain:An approximation-Free and computationally efficient framework for privacy-preserved neural network training(IEEE Transactions on Network Science and Engineering)
2021.2.18
A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs(TransVLSI)
2021.2.4
A Fair Blockchain Based on Proof of Credit(Transactions on Computational Social Systems)
2021.1.28
Efficient and Privacy-Preserving Truth Discovery in Mobile Crowd Sensing Systems(Transactions on Vehicular Technology)
2021.1.14
A Fast Nearest Neighbor Search Scheme Over Outsourced Encrypted Medical Images(TII)
2021.1.5
Themis: An accountable blockchain-based P2P cloud storage scheme(Peer-to-Peer Networking and Applications)
2020.12.31
Non-interactive privacy-preserving neural network prediction(InfoS)
2020.12.17
CryptoNN: Training Neural Networks over Encrypted Data(ICDCS)
2020.12.8
Highly Efficient Linear Regression Outsourcing to a Cloud & Comment on“Highly Efficient Linear Regression Outsourcing to a Cloud”(TCC)
2020.11.18
A verifiable and privacy-preserving multidimensional data aggregation scheme in mobile crowdsensing(Transactions on Emerging Telecommunications Technologies)
2020.11.11
NPMML: A Framework for Non-interactivePrivacy-preserving Multi-party Machine Learning(TDSC)
2020.10.21
Publicly Verifiable Privacy-Preserving Aggregation and Its Application in IoT(Journal of Network and Computer Applications)
2020.10.14
CrowdBLPS: A Blockchain-Based Location-Privacy-Preserving Mobile Crowdsensing System(TII)
2020.9.30
SecFact:Secure Large-scale QR and LU Factorizations(Transactions on Big Data)
2020.9.23
Achieving Intelligent Trust-Layer for Internet-of-Things via Self-Redactable Blockchain(TII)