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A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research demonstrates network traffic side-channel attacks on cloud LLMs, inferring models and tasks from packet patterns despite encryption.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 28 October 2026
- Collected by OneBench
- 29 Oct 2026, 02:02 UK
Stored source excerpt
arXiv:2609.31877v2 Announce Type: replace-cross Abstract: Cloud-based Large language model (LLM) services create a network-level traffic side channel that can expose model, prompt, and task behavior…
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