AID, a dual-branch ML system, reports 0.981 F1 and 1.6% false positive rate for detecting non-owner access and IPI-related behaviors in a 27-participant simulated study.
Multilock: Mobile active authenti- cation based on multiple biometric and behavioral patterns
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Towards Scalable Defenses against Intimate Partner Infiltrations
AID, a dual-branch ML system, reports 0.981 F1 and 1.6% false positive rate for detecting non-owner access and IPI-related behaviors in a 27-participant simulated study.