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FESC achieves private long-document inference on a single GPU for sequences up to 2,048 tokens, setting a new standard for efficiency and accuracy in encrypted machine learning.
Road-geometry-aware models can dramatically enhance the accuracy of long-range vehicle trajectory reconstruction, achieving up to 15.4% improvements over traditional methods.
LLM fingerprinting and watermarking, often treated as separate problems, are unified under a single "implicit identity" framework, providing a more structured approach to asset protection and provenance.
