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.
Our paper “DDRM: A Continual Frequency Estimation Mechanism with Local Differential Privacy” has been accepted for publish in IEEE Transactions on Knowledge and Data Engineering (TKDE).
Our paper “Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System” has been accepted for publish in IEEE Internet of Things Journal.
Our papers “SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things”, “Adaptive Video Streaming with Automatic Quality-of-Experience Optimization”, and “ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave” have been accepted for publish in IEEE Transactions on Network and Service Management (TNSM), IEEE Transactions…