AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces STRIDE, the first framework for evaluating context alignment between scenario descriptions and pedestrian trajectories, and believes that the STRIDE framework provides a first step toward principled evaluation of context-aligned pedestrian trajectory generation.
A robust membership inference framework for reliably identifying training data that adopts a mixture-of-experts formulation to jointly model interactions across complementary features derived from multiple MIA methods and AIGT detectors, which can remain robust against ad-versarially generated samples.
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