
One Paper Accepted by PVLDB 2024
Our paper “DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release” has been accepted by PVLDB 2024.
Our paper “DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release” has been accepted by PVLDB 2024.
Our paper “TED+Utility-Aware Time Series Data Release with Anomalies under TLDP” has been accepted by IEEE Transactions on Mobile Computing (TMC). Our paper “A Utility-aware Anonymization Model for Multiple Sensitive Attributes Based on Association Concealment” has been accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Our paper “DeepMark: A Scalable and Robust Framework…
Our paper “TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database” has been accepted by IEEE TKDE. Our paper “Secure Traffic Monitoring with Spatio-temporal Metadata Protection Using Oblivious RAM” has been accepted by IEEE Transactions on Intelligent Transportation Systems. Our paper “Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy” has been…
Our paper “Collaborative Sampling for Partial Multi-dimensional Value Collection under Local Differential Privacy” has been accepted by IEEE TIFS. Our paper “PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization” has been accepted by IEEE TKDE.
Our paper “Trajectory Data Collection with Local Differential Privacy” has been accepted by PVLDB 2023.
Our paper “3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning” has been accepted by IEEE S&P 2023.
Our paper “Differential Aggregation against General Colluding Attackers” has been accepted by IEEE ICDE 2023.
Our paper “Stateful Switch: Optimized Time Series Release with Local Differential Privacy” has been accepted by IEEE INFOCOM 2023.
Our paper “TED: Towards Discovering Top-? Edge-Diversified Patterns in a Graph Database” has been accepted by ACM SIGMOD 2023.
Our paper “MExMI: Pool-based Active Model Extraction Crossover Membership Inference” has been accepted in Thirty-Sixth Conference on Neural Information Processing Systems.