One Paper Accepted in TIFS
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 “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.
Our paper with title “A Boundary Differential Private Layer against Machine Learning Model Extraction Attacks” has been accepted by ESORICS 2019. Congratulations to Huadi Zheng!
A research paper titled “CPP: Towards Comprehensive Privacy Preserving for Query Processing in Information Networks” has been published in Information Sciences, Volume 467, October 2018.
Our paper “PrivKV: Key-Value Data Collection with Local Differential Privacy” has been accepted by IEEE Symposium on Security and Privacy (S&P) 2019.
A research paper titled “Authenticating Aggregate Queries over Set-Valued Data with Confidentiality” has been published in IEEE Transactions on Knowledge and Data Engineering (TKDE), Apr 2018.
Our paper “When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach” has been accepted as a full paper by ACM SIGMOD 2018. Our paper “Authenticating Aggregate Queries over Set-Valued Data with Confidentiality” has been accepted by IEEE Transactions on Knowledge and Data Engineering.
Our paper titled “Geo-Social Group Queries with Minimum Acquaintance Constraints” has been accepted for publication in the VLDB journal.
A research paper titled “Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing” has been accepted for publication in IEEE Transactions on Knowledge and Data Engineering (TKDE).
A research paper titled ” Assuring Spatio-Temporal Integrity on Mobile Devices with Minimum Location Disclosure” has been accepted for publication in IEEE Transactions on Mobile Computing (TMC).