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RAG-SmartVuln: Enhancing Smart Contract Vulnerability Detection via Retrieval-Augmented LLMs

RESEARCH CREW
13:09 03/07/2025
TIN LIÊN QUAN
MAF-LLM: A Multi-Agent Framework Based on Large Language Models for Automated Ransomware Memory Forensics
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Federated learning (FL) enables collaborative Intrusion Detection Systems (IDS) across distributed Internet of Things (IoT) networks without sharing raw data. However, its openness exposes it to model poisoning and backdoor attacks, where malicious clients manipulate updates to corrupt the global model. Detecting such threats remains difficult under non-independent and identically...
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Web Application Firewalls (WAFs) are crucial in mitigating web-based threats such as SQLi and XSS, yet the evolving complexity of WAF detection mechanisms poses significant challenges for penetration testing (pentest) tools. Existing ML- and RL-based fuzzers often suffer from three main limitations: (1) reliance on static training datasets, making them...