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PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning

AAAI 2023 · Federated learning and privacy › Privacy attacks and secure learning · approach: Visual privacy and face de-identification · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use PateGail instead of IO-HMMMobility trajectory generation · ISPRadius JSD: 0.1443 -> 0.0556Helped
Use PateGail instead of MoveSimMobility trajectory generation · ISPDailyLoc JSD: 0.1130 -> 0.0381Helped
Use PateGail instead of MoveSimMobility trajectory generation · ISPDistance JSD: 0.0245 -> 0.0051Helped
Use PateGail instead of MoveSimMobility trajectory generation · ISPG-rank JSD: 0.0578 -> 0.0510Helped
Use PateGail instead of MoveSimMobility trajectory generation · ISPI-rank JSD: 0.0816 -> 0.0096Helped
Use PateGail instead of TimeGeoMobility trajectory generation · GeoLifeRadius JSD: 0.0737 -> 0.0699Helped
Use PateGail instead of MoveSimMobility trajectory generation · GeoLifeDailyLoc JSD: 0.2467 -> 0.1046Helped
Use PateGail instead of MoveSimMobility trajectory generation · GeoLifeDistance JSD: 0.0138 -> 0.0130Helped
Use PateGail instead of MoveSimMobility trajectory generation · GeoLifeG-rank JSD: 0.0492 -> 0.0256Helped
Use PateGail instead of MoveSimMobility trajectory generation · GeoLifeI-rank JSD: 0.0408 -> 0.0176Helped

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