ASE 2025 (series) / Tool Demonstration Track /
DeepTx: Real-Time Transaction Risk Analysis via Multi-Modal Features and LLM Reasoning
This program is tentative and subject to change.
Tue 18 Nov 2025 15:00 - 18:00 at Walker Hall - Tools - LLMs and Agents
Phishing attacks in Web3 ecosystems are increasingly sophisticated, exploiting deceptive contract logic, malicious frontend scripts, and token approval patterns. We present DeepTx, a real-time transaction analysis system that detects such threats before user confirmation. DeepTx simulates pending transactions, extracts behavior, context, and UI features, and uses multiple large language models (LLMs) to reason about transaction intent. A consensus mechanism with self-reflection ensures robust and explainable decisions. Evaluated on our phishing dataset, DeepTx achieves high precision and recall (demo video: https://youtu.be/4OfK9KCEXUM).
This program is tentative and subject to change.
Tue 18 NovDisplayed time zone: Seoul change
Tue 18 Nov
Displayed time zone: Seoul change
15:00 - 18:00 | |||
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15:00 3hDemonstration | DeepTx: Real-Time Transaction Risk Analysis via Multi-Modal Features and LLM Reasoning Tool Demonstration Track Yixuan Liu Nanyang Technological University, Xinlei Li Nanyang Technological University, Yi Li Nanyang Technological University | ||
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