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#artificial intelligence Preprint Sep 2026

Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

It is shown that a misaligned model can perform inference engine fingerprinting to determine the specific engine (e.g., vLLM, SGLang) which executes the model, and several ways that inference engines could be changed to make fingerprinting attacks more difficult are discussed.

Sarah Radway, Andrew Cheng, V. Reddi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Rethinking Heterogeneous System Disaggregation for Subquadratic Attention

SQD (SubQuadratic Disaggregation), a fine-grained heterogeneous disaggregation scheme that splits decode by quadratic and subquadratic attention rather than by operator type, and that applies across subquadratic attention variants is introduced.

Arya Tschand, Yao-Sheng Fu, Vikram Sharma Mailthody et al. · 0 citations
#artificial intelligence Open access Sep 2026

Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems

This work presents Affective Agent, a three-layer reference architecture for personalized intervention reasoning under uncertainty on wearable-class hardware that combines a compact sub-billion-parameter language model with physiological evidence, context, and user history to decide whether to intervene, without cloud...

R. Mun, Zi-Shen Wan, V. Reddi · 0 citations

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