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XL-Stack Lab
One stack, from integrated sensing and communication up to foundation models for Physical AI.
XL-Stack Lab is a research group in the Department of Computer Science at Florida State University, led by Prof. Xin Liu. We build full-stack systems that run from integrated sensing and communication and NextG wireless networks, through edge intelligence, up to foundation models for Physical AI.
Research areas
- Integrated sensing and communication (Wi-Fi, mmWave, NextG systems)
- Physical AI for human motion and health
- Security and privacy of wireless, sensing and AI systems, including the safety of language models
Datasets
GUISE (gated)
A cross-language benchmark of matched bare and narrative-wrapped harmful requests, in English, modern Chinese and Classical Chinese, from the paper How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense.
- Dataset: xl-stack-lab/GUISE
- Project page: https://jye16.github.io/guise/
- Code (AXIS defense and evaluation): https://github.com/JYe16/GUISE_Official
The dataset contains harmful requests and attack prompts, so access is gated. Requests are reviewed by hand and granted to individual researchers for language-model safety research. Fill in the form on the dataset page; reviews usually take a few days.
Citation
If you use our datasets, please cite the paper listed on the dataset page.