A CLIP-guided diffusion model generates backdoor triggers for IMU-based HAR models, achieving successful attacks at a 10% backdoor injection rate.
Dynamic user-controllable privacy-preserving few-shot sensing framework,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Backdoor attacks succeed against ML fault detection and localization in CPS even when only 10% of the training data is poisoned.
citing papers explorer
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CLIP-guided Diffusion Model for Backdoor Generation in Sensor-based Human Activity Recognition
A CLIP-guided diffusion model generates backdoor triggers for IMU-based HAR models, achieving successful attacks at a 10% backdoor injection rate.
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Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
Backdoor attacks succeed against ML fault detection and localization in CPS even when only 10% of the training data is poisoned.