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This work proposes CARAT, which decouples model reliance from runtime corruption detection to guide omission or attenuation, amortizing reliance estimation through source training and position CARAT as a practical default to wearable TTA, offering competitive robustness with modest computational requirements and benefi...
AID, Automated IPI Detection, a data-driven system that continuously logs unauthorized access and suspicious behaviors on smartphones is presented, demonstrating AID's potential as an evidence-support tool that complements current clinic-based interpretation and safety-planning.
PELM is presented, a solution that augments traditional DVFS processor frequency tuning with two additional workload-specific knobs: speculative decoding and variable verification depth to expand the optimization space to multiple dimensions for more power efficient on-device LLM inference.
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