Marcello Maugeri
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    • BenGQL: An Extensible Benchmarking Framework for Automated GraphQL Testing
    • AI-related Vulnerabilities within CVEs: Are We Ready Yet? A Study of Vulnerability Disclosure in AI Products
  • Publications
    • BenGQL: An Extensible Benchmarking Framework for Automated GraphQL Testing
    • Fuzzing OPC UA with AFLNet, ChatAFL and LibAFLstar: A Research Experience Paper
    • AI-related Vulnerabilities within CVEs: Are We Ready Yet? A Study of Vulnerability Disclosure in AI Products
    • LibAFLstar: Fast and State-Aware Protocol Fuzzing
    • Poster: Machine Learning for Vulnerability Detection
    • Privacy Enrooted Car Systems (PECS): Preliminary Design
    • User-Empowered Federated Learning in Automotive
    • Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
    • Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol
    • Forkfuzz: Leveraging the Fork-Awareness in Coverage-Guided Fuzzing
    • Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
    • Embedded fuzzing: a review of challenges, tools, and solutions
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    • Fuzzing Matter(s)
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Fuzzing Matter(s)

23 Feb 2024 · 1 min read
Go to Project Site

Leading the project based on the paper “Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol”, which aims to perform stateful fuzzing of Matter-enabled device.

Last updated on 23 Feb 2024
Fuzzing Matter Protocol IoT
Marcello Maugeri
Authors
Marcello Maugeri
PhD Candidate in Computer Science
← Proteus 25 Oct 2024
PECS - Privacy Enrooted Car Systems 20 Jan 2024 →

© 2025 Marcello Maugeri. This work is licensed under CC BY NC ND 4.0

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