Road-network trajectory synthesis under local differential privacy (LDP) enables mobility data analysis without uploading raw trajectories to an untrusted server. Existing locally private trajectory synthesis methods mainly model whole trajectories, point sequences, or grid-level mobility patterns. However, they cannot...
Hong-Zhen Xiang, Chen-Xu Wang, Yumeng Song et al.· 0 citations
FEAT replaces quadratic attention with a multi-layer dual-axis encoding architecture and integrates an adaptive-fusion bidirectional state-space model (AFBM) with convolutional gated linear attention (Conv-GLA), enabling cross-tuple contextualization in O(N) time while supporting permutation-invariant representation le...
Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environments, service providers may return incorrect, e.g., incomplete, tampered, or invalid query results, making verifiability of query results an...
Zhong-Ming Yao, Jun-Chang Xin, Yumeng Song et al.· 1 citation
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