An MLP with SMOTE and Focal Loss is claimed to detect rug pull tokens with 0.927 accuracy, but the ground truth labels are partly randomly generated.
Penetrating the hostile: Detecting DeFi protocol exploits through cross-contract analysis.IEEE Transactions on Information Forensics and Security, 20:11759–11774, 2025
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From Viral to Void: Multi-Dimensional Behavioral and Contractual Analysis for Rug Pull Identification
An MLP with SMOTE and Focal Loss is claimed to detect rug pull tokens with 0.927 accuracy, but the ground truth labels are partly randomly generated.