AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Bo, Wang, Yuan, Wei, Qingsong, Liu, Yong, Goh, Rick Siow Mong, Lo, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production
by: Yang, Hulin, et al.
Published: (2024)
by: Yang, Hulin, et al.
Published: (2024)
DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
by: Kanagavelu, Renuga, et al.
Published: (2026)
by: Kanagavelu, Renuga, et al.
Published: (2026)
History-Aware and Dynamic Client Contribution in Federated Learning
by: Ghosh, Bishwamittra, et al.
Published: (2024)
by: Ghosh, Bishwamittra, et al.
Published: (2024)
Ormer: A Manipulation-resistant and Gas-efficient Blockchain Pricing Oracle for DeFi
by: Bai, Dongbin, et al.
Published: (2024)
by: Bai, Dongbin, et al.
Published: (2024)
A New Perspective to Boost Performance Fairness for Medical Federated Learning
by: Yan, Yunlu, et al.
Published: (2024)
by: Yan, Yunlu, et al.
Published: (2024)
LLM-Powered Detection of Price Manipulation in DeFi
by: Liu, Lu, et al.
Published: (2025)
by: Liu, Lu, et al.
Published: (2025)
Detecting Various DeFi Price Manipulations with LLM Reasoning
by: Zhong, Juantao, et al.
Published: (2025)
by: Zhong, Juantao, et al.
Published: (2025)
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
by: Ozdag, Mesut
Published: (2025)
by: Ozdag, Mesut
Published: (2025)
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation
by: Castiglione, Gianpietro, et al.
Published: (2025)
by: Castiglione, Gianpietro, et al.
Published: (2025)
DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks
by: Wang, Dabao, et al.
Published: (2024)
by: Wang, Dabao, et al.
Published: (2024)
Prompt Optimization and Evaluation for LLM Automated Red Teaming
by: Freenor, Michael, et al.
Published: (2025)
by: Freenor, Michael, et al.
Published: (2025)
zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements
by: Isozaki, Isamu, et al.
Published: (2024)
by: Isozaki, Isamu, et al.
Published: (2024)
Prompt Injection Attack to Tool Selection in LLM Agents
by: Shi, Jiawen, et al.
Published: (2025)
by: Shi, Jiawen, et al.
Published: (2025)
KryptoPilot: An Open-World Knowledge-Augmented LLM Agent for Automated Cryptographic Exploitation
by: Liu, Xiaonan, et al.
Published: (2026)
by: Liu, Xiaonan, et al.
Published: (2026)
Correcting Subverted Random Oracles
by: Russell, Alexander, et al.
Published: (2024)
by: Russell, Alexander, et al.
Published: (2024)
Fully Automated Selfish Mining Analysis in Efficient Proof Systems Blockchains
by: Chatterjee, Krishnendu, et al.
Published: (2024)
by: Chatterjee, Krishnendu, et al.
Published: (2024)
Following Devils' Footprint: Towards Real-time Detection of Price Manipulation Attacks
by: Zhang, Bosi, et al.
Published: (2025)
by: Zhang, Bosi, et al.
Published: (2025)
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
by: Wei, Rongzhe, et al.
Published: (2025)
by: Wei, Rongzhe, et al.
Published: (2025)
The Price of Pessimism for Automated Defense
by: Galinkin, Erick, et al.
Published: (2024)
by: Galinkin, Erick, et al.
Published: (2024)
Blockchain Data Analysis in the Era of Large-Language Models
by: Toyoda, Kentaroh, et al.
Published: (2024)
by: Toyoda, Kentaroh, et al.
Published: (2024)
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
by: Kereopa-Yorke, Ben, et al.
Published: (2026)
by: Kereopa-Yorke, Ben, et al.
Published: (2026)
Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2025)
by: Wang, Zhaoqi, et al.
Published: (2025)
Knowledge-to-Data: LLM-Driven Synthesis of Structured Network Traffic for Testbed-Free IDS Evaluation
by: Kampourakis, Konstantinos E., et al.
Published: (2026)
by: Kampourakis, Konstantinos E., et al.
Published: (2026)
Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree
by: Johnson, Sam, et al.
Published: (2025)
by: Johnson, Sam, et al.
Published: (2025)
Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks
by: De Stefano, Gianluca, et al.
Published: (2024)
by: De Stefano, Gianluca, et al.
Published: (2024)
Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain
by: Liu, Hanzhi, et al.
Published: (2026)
by: Liu, Hanzhi, et al.
Published: (2026)
Security of the Fischlin Transform in Quantum Random Oracle Model
by: Majenz, Christian, et al.
Published: (2026)
by: Majenz, Christian, et al.
Published: (2026)
VULSOLVER: Vulnerability Detection via LLM-Driven Constraint Solving
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading
by: Rizvani, Advije, et al.
Published: (2026)
by: Rizvani, Advije, et al.
Published: (2026)
The Vulnerability of LLM Rankers to Prompt Injection Attacks
by: Yin, Yu, et al.
Published: (2026)
by: Yin, Yu, et al.
Published: (2026)
PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy
by: Duy, Phan The, et al.
Published: (2026)
by: Duy, Phan The, et al.
Published: (2026)
DECO: Liberating Web Data Using Decentralized Oracles for TLS
by: Zhang, Fan, et al.
Published: (2019)
by: Zhang, Fan, et al.
Published: (2019)
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
by: Tung, Lam Nguyen, et al.
Published: (2024)
by: Tung, Lam Nguyen, et al.
Published: (2024)
Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
by: Zhou, Jiuan, et al.
Published: (2025)
by: Zhou, Jiuan, et al.
Published: (2025)
LoRA as Oracle
by: Arazzi, Marco, et al.
Published: (2026)
by: Arazzi, Marco, et al.
Published: (2026)
Compressed Permutation Oracles
by: Carolan, Joseph
Published: (2025)
by: Carolan, Joseph
Published: (2025)
Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching
by: Ma, Chengyan, et al.
Published: (2026)
by: Ma, Chengyan, et al.
Published: (2026)
Codes on any Cayley Graph have an Interactive Oracle Proof of Proximity
by: Delavenne, Hugo, et al.
Published: (2025)
by: Delavenne, Hugo, et al.
Published: (2025)
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums
by: Rahman, Fahad, et al.
Published: (2023)
by: Rahman, Fahad, et al.
Published: (2023)
Similar Items
-
BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production
by: Yang, Hulin, et al.
Published: (2024) -
DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
by: Kanagavelu, Renuga, et al.
Published: (2026) -
History-Aware and Dynamic Client Contribution in Federated Learning
by: Ghosh, Bishwamittra, et al.
Published: (2024) -
Ormer: A Manipulation-resistant and Gas-efficient Blockchain Pricing Oracle for DeFi
by: Bai, Dongbin, et al.
Published: (2024) -
A New Perspective to Boost Performance Fairness for Medical Federated Learning
by: Yan, Yunlu, et al.
Published: (2024)