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arXiv AI By Rui Cao, Shaojing Fan, Liming Fang, Yuchan Liu, Yingying Jiao, Zhenguang Liu

DeFiFusion: Combining Transaction Events with Smart Contracts to Detect Price Manipulation Attacks

Read the original on arXiv AI →

DeFiFusion is a dual‑modal framework that detects price manipulation attacks in decentralized finance by jointly analyzing transaction events and smart contract semantics. It encodes fine‑grained temporal and economic features from transactions and extracts contract logic using large language models, then fuses these signals with a Dual‑Modal Projection‑Fusion Transformer. The approach achieves state‑of‑the‑art performance, recalling 222 of 225 known attacks with 96.10% precision.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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