AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling 事件

AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling arXiv:2606.05986v1 Announce Type: cross Abstract: Existing learning-based detectors for Solidity smart-contracts reduce vulnerability detection to syntactic pattern matching within single functions, yet many of the most consequential exploits (The DAO, Cream Finance) exist not in any individual function but in the relationship between functions and in the combination