LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices
Author:
Affiliation:
1. University of California-Davis
2. California State University,Long Beach
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10528356/10528364/10528736.pdf?arnumber=10528736
Reference21 articles.
1. Large language models for code analysis: Do llms really do their job?;Fang;arXiv preprint arXiv:2310.12357,2023
2. Hw-v2w-map: Hardware vulnerability to weakness mapping framework for root cause analysis with gpt-assisted mitigation suggestion;Lin;arXiv preprint arXiv:2312.13530,2023
3. Don’t Cross Me! Cross-layer System Security
4. Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms
5. Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems
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