Cover Image

Evaluation of ChatGPT's Smart Contract Auditing Capabilities Based on Chain of Thought

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Yuying, Tang, Xueyan
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence 68 I.2; J.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
by: Ismail, Nasim Abdirahman, et al.
Published: (2026)

AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)

Security Analysis of Smart Contract Migration from Ethereum to Arbitrum
by: Tang, Xueyan, et al.
Published: (2023)

Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
by: Ravindran, Santhosh Kumar
Published: (2026)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
by: Zhou, Xueyang, et al.
Published: (2025)

SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do
by: Dhodapkar, Aditya, et al.
Published: (2026)

Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks
by: Merves, Tyler H., et al.
Published: (2026)

ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
by: Chen, Yiyi, et al.
Published: (2025)

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing
by: Muzsai, Lajos, et al.
Published: (2024)

Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models
by: Mohamed, Omar Khalid Ali
Published: (2025)

BreakFun: Jailbreaking LLMs via Schema Exploitation
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

Monotonicity as an Architectural Bias for Robust Language Models
by: Cooper, Patrick, et al.
Published: (2026)

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation
by: Bitzki, Leonardo, et al.
Published: (2026)

Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications
by: Härer, Felix
Published: (2025)

Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance
by: Assolin, Joner, et al.
Published: (2025)

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
by: Blanco-Justicia, Alberto, et al.
Published: (2024)

Sola-Visibility-ISPM: Benchmarking Agentic AI for Identity Security Posture Management Visibility
by: Engelberg, Gal, et al.
Published: (2026)

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges
by: Muzsai, Lajos, et al.
Published: (2025)

Design Principles for the Construction of a Benchmark Evaluating Security Operation Capabilities of Multi-agent AI Systems
by: Cai, Yicheng, et al.
Published: (2026)

Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents
by: Basu, Abhinaba
Published: (2026)

VOLTRON: Detecting Unknown Malware Using Graph-Based Zero-Shot Learning
by: Akdeniz, M. Tahir, et al.
Published: (2025)

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
by: Gharami, Kanchon, et al.
Published: (2025)

An Agent-Based Modeling Approach to Free-Text Keyboard Dynamics for Continuous Authentication
by: Dillon, Roberto, et al.
Published: (2025)

A V2X-based Privacy Preserving Federated Measuring and Learning System
by: Alekszejenkó, Levente, et al.
Published: (2024)

Safety, Security, and Cognitive Risks in World Models
by: Parmar, Manoj
Published: (2026)

Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
by: Ilbert, Romain, et al.
Published: (2023)

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
by: Xu, Binyan, et al.
Published: (2025)

Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
by: Bragg, Landon, et al.
Published: (2025)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation
by: Xu, Binyan, et al.
Published: (2025)

Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache
by: Wang, Xinhai, et al.
Published: (2026)

KGMark: A Diffusion Watermark for Knowledge Graphs
by: Peng, Hongrui, et al.
Published: (2025)

Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring
by: Schaeffer, Joachim, et al.
Published: (2026)

Inverting Cryptographic Hash Functions via Cube-and-Conquer
by: Zaikin, Oleg
Published: (2022)

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents
by: Sidik, Bronislav, et al.
Published: (2026)

Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System
by: Zou, Zhenhua, et al.
Published: (2026)

BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
by: DeLeeuw, Caleb
Published: (2026)

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses
by: Xavier, Fabio Correa
Published: (2025)

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
by: Zhao, Lepeng, et al.
Published: (2026)

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
by: Smith, Chandler, et al.
Published: (2025)