Cheng-Yue Wang

Experiments across four Sybil attack scenarios demonstrate that Sybil-TraceGuard effectively links fragmented pseudonyms to source attackers, maintaining high stability and sensitivity despite extreme class imbalance and varying hyperparameter settings.

Modern autonomous driving systems hinge on learned representations that prioritize safety and compliance, not just raw performance metrics.