One Paper Accepted in IEEE INFOCOM 2021
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).
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One Paper Accepted in IEEE TDSC
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.
Two Papers Accepted in IEEE Intelligent Systems and CIKM 2020
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.
Two Papers Accepted in ICDE 2020 and ICDCS 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.
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).
Best Paper Award
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.
ESORICS Paper Accepted
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!
One Paper Published in Informatoin Sciences
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.
IEEE S&P 2019 Paper Accepted
Our paper “PrivKV: Key-Value Data Collection with Local Differential Privacy” has been accepted by IEEE Symposium on Security and Privacy (S&P) 2019.
One Paper Accepted by TKDE
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.