Image de couverture de livre

Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Alam, Md Tauseef, Halder, Raju, Maiti, Abyayananda
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Artificial Intelligence Emerging Technologies Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
par: Loumachi, Fatma Yasmine, et autres
Publié: (2024)

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
par: Otoum, Yazan, et autres
Publié: (2025)

Predictive Coding and Information Bottleneck for Hallucination Detection in Large Language Models
par: Bhatt, Manish
Publié: (2026)

RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging
par: He, Xin, et autres
Publié: (2025)

Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
par: Malik, Cyrus, et autres
Publié: (2025)

Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
par: Otoum, Yazan, et autres
Publié: (2025)

Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation
par: Paulraj, Jenifer, et autres
Publié: (2025)

Emerging Paradigms for Securing Federated Learning Systems
par: Abouelmagd, Amr Akmal, et autres
Publié: (2025)

The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models
par: Dora, Swaroop, et autres
Publié: (2025)

\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party
par: Rahimi, Ali, et autres
Publié: (2025)

Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models
par: Soud, Majd, et autres
Publié: (2024)

SoK: Prompt Hacking of Large Language Models
par: Rababah, Baha, et autres
Publié: (2024)

Quantum Autoencoders for Anomaly Detection in Cybersecurity
par: Senthil, Rohan, et autres
Publié: (2025)

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
par: Wang, Zhepeng, et autres
Publié: (2024)

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
par: Moia, Vitor Hugo Galhardo, et autres
Publié: (2025)

Adversarial Robustness of Partitioned Quantum Classifiers
par: Kananian, Pouya, et autres
Publié: (2025)

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
par: Tran, Linh, et autres
Publié: (2024)

HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model
par: Wang, Ziyang, et autres
Publié: (2024)

On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?
par: Esposito, Matteo, et autres
Publié: (2024)

SILS: Strategic Influence on Liquidity Stability and Whale Detection in Concentrated-Liquidity DEXs
par: RajabiNekoo, Ali, et autres
Publié: (2025)

Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
par: Dayaratne, Thusitha, et autres
Publié: (2025)

ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification
par: Saha, Dipayan, et autres
Publié: (2025)

Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
par: Tallam, Krti
Publié: (2025)

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
par: Dunsin, Dipo, et autres
Publié: (2025)

ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control
par: Bhatt, Manish, et autres
Publié: (2025)

Integrating Artificial Open Generative Artificial Intelligence into Software Supply Chain Security
par: Alevizos, Vasileios, et autres
Publié: (2024)

Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
par: Dunsin, Dipo, et autres
Publié: (2024)

PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
par: Yu, Guangsheng, et autres
Publié: (2026)

Adversarial SQL Injection Generation with LLM-Based Architectures
par: Karakoc, Ali, et autres
Publié: (2026)

Prompt to Pwn: Automated Exploit Generation for Smart Contracts
par: Xiao, ZeKe, et autres
Publié: (2025)

Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey
par: Sorrentino, Pablo, et autres
Publié: (2026)

Identifying Likely-Reputable Blockchain Projects on Ethereum
par: Malik, Cyrus, et autres
Publié: (2025)

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
par: Atta, Hammad, et autres
Publié: (2025)

Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats
par: Huang, Ken, et autres
Publié: (2025)

CTI Dataset Construction from Telegram
par: Arikkat, Dincy R., et autres
Publié: (2025)

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
par: Aouedi, Ons, et autres
Publié: (2024)

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
par: Dif, Meryem Malak, et autres
Publié: (2025)

Device-Native Autonomous Agents for Privacy-Preserving Negotiations
par: Roy, Joyjit, et autres
Publié: (2026)

Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy
par: Ganadily, Naif A., et autres
Publié: (2024)

Nonideality-aware training makes memristive networks more robust to adversarial attacks
par: Joksas, Dovydas, et autres
Publié: (2024)