AI RESEARCH
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
arXiv CS.LG
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ArXi:2603.24232v1 Announce Type: new Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data requires time consuming and expensive data acquisition for each subject identity. Recently, Assessment and Augmented Identity Recognition for Skeletons (AAIRS) has been used to train Hierarchical Co-occurrence Networks for Person Identification (HCN-ID) with small LiDAR based skeleton data sets.