LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. Current...
Saved in:
| Main Author: | Saeif Alhazbi (17058108) (author) |
|---|---|
| Other Authors: | Ahmed Hussain (5233775) (author), Gabriele Oligeri (14151426) (author), Panos Papadimitratos (22565177) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IP Network Planning for Realtime Services with Statistical QoS Guarantees
by: Sharafeddine, Sanaa
Published: (2005) -
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges
by: Hadid, Abdenour
Published: (2024) -
Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey
by: Somaya Eltanbouly (22565864)
Published: (2025) -
Network capacity optimization for latency-sensitive traffic in multiservice IP networks
by: Sharafeddine, Sanaa
Published: (2005) -
Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks
by: Abdallah, Azza
Published: (2012)