Aditi Kataria

On-Device Is Not Private: Measuring Membership Leakage in Lightweight Sensor Anomaly Detectors

Compressed-TinyML pipelines apply distillation, quantization and pruning to fit lightweight anomaly detectors onto resource-constrained sensor nodes. Such frameworks are routinely called privacy-aware on the strength of on-device inference or noisy federated updates rather than any measured guarantee, yet that assumpti...