Membership inference attacks can detect whether specific ECG data participated in pretraining self-supervised foundation encoders, with leakage strongest in small cohorts and contrastive models.
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PulseLM aggregates PPG data from 16 sources into 1M segments and 2.5M QA pairs for 12 tasks, providing a standardized benchmark for PPG-text multimodal learning.
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Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders
Membership inference attacks can detect whether specific ECG data participated in pretraining self-supervised foundation encoders, with leakage strongest in small cohorts and contrastive models.
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PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning
PulseLM aggregates PPG data from 16 sources into 1M segments and 2.5M QA pairs for 12 tasks, providing a standardized benchmark for PPG-text multimodal learning.