When Temporal Perturbations Act Like Sensor Biases: Label-Free Auditing of Wearable Activity Recognizers

arXiv:2609.29937 · cs.LG, cs.AI, cs.CR · Submitted 2026-09-24 · Read on arXiv

cs.LG, cs.AI, cs.CR

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Accuracy — 10× in this paper · explained in 1 episode
• Calibration — 10× in this paper · explained in 7 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Adversarial Attacks — 4× in this paper · explained in 1 episode
• Foundation Models — 4× in this paper · explained in 7 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Post-Selection — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

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