One Paper Accepted in IEEE TPDS
Our paper “ A Unified Framework for Flexible Playback Latency Control in Live Video Streaming” has been accepted for publish in IEEE Transactions on Parallel and Distributed Systems (TPDS).
Our paper “ A Unified Framework for Flexible Playback Latency Control in Live Video Streaming” has been accepted for publish in IEEE Transactions on Parallel and Distributed Systems (TPDS).
Our paper “Post-Streaming Wastage Analysis – A Data Wastage Aware Framework in Mobile Video Streaming ” has been accepted for publish in IEEE Transactions on Mobile Computing (TMC).
Our paper “Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy” has been accepted for publish in IEEE International Conference on Sensing, Communication and Networking (SECON), 2021.
Our paper “LF-GDPR: A Framework for Estimating Graph Metrics with Local Differential Privacy ” has been accepted for publish in IEEE Transactions on Knowledge and Data Engineering.
Our paper “Beyond Value Perturbation: Differential Privacy in the Temporal Setting” has been accepted for publish in IEEE International Conference on Computer Communications (INFOCOM’21).
Our paper “Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation” has been accepted for publish in IEEE Transactions on Dependable and Secure Computing.
Our paper “Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning? ” has been accepted for publish in IEEE Intelligent Systems. Our paper “OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors” has been accepted for publish in ACM CIKM 2020.
Our paper “Towards Locally Differentially Private Generic Graph Metric Estimation” has been accepted for publish in IEEE ICDE 2020. Our paper “Cloud Password Shield: A Secure Cloud-based Firewall against DDoS on Authentication Servers” has been accepted for publish in IEEE ICDCS 2020.
Our paper “MISSILE: A System of Mobile Inertial Sensor-Based Sensitive Indoor Location Eavesdropping.” has been accepted for publish in IEEE Transactions on Information Forensics and Security (TIFS).
Our paper “Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning?” has received the Best Theory Paper Award in the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19), in conjunction with IJCAI’19.