Prrr introduces personal random rewards and ex-ante synthetic asymmetry to create incentive-compatible timely reporting as a Subgame-Perfect Nash Equilibrium robust to collusion and Sybil attacks.
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ExDoS uses expert-guided dual-focus distillation between source semantic graphs and bytecode control-flow graphs plus a dual-attention network to improve smart contract vulnerability detection, reporting 3-6% F1 gains over baselines.
The paper presents a capstone-oriented framework that organizes four research directions in smart contract security and connects them to recent diagnostic and detection studies.
citing papers explorer
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Prrr: Personal Random Rewards for Blockchain Reporting
Prrr introduces personal random rewards and ex-ante synthetic asymmetry to create incentive-compatible timely reporting as a Subgame-Perfect Nash Equilibrium robust to collusion and Sybil attacks.
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ExDoS: Expert-Guided Dual-Focus Cross-Modal Distillation for Smart Contract Vulnerability Detection
ExDoS uses expert-guided dual-focus distillation between source semantic graphs and bytecode control-flow graphs plus a dual-attention network to improve smart contract vulnerability detection, reporting 3-6% F1 gains over baselines.
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Smart Contract Security Beyond Detection
The paper presents a capstone-oriented framework that organizes four research directions in smart contract security and connects them to recent diagnostic and detection studies.