Sarah Erfani
2 indexed papers
Publications per year
Top categories
Frequent co-authors
Research Timeline
This survey provides a comprehensive, structured review of safety research in Embodied AI, analyzing attacks and defenses across the entire embodied pipeline to guide the development of safe, robust, and reliable real-world agents.
The paper proposes reframing mechanistic anomaly detection (MAD) as a functional attribution problem, using influence functions to measure how much a model's output depends on specific input samples, achieving state-of-the-art results across various anomaly types and modalities.
Papers
Mechanistic Anomaly Detection via Functional Attribution
The paper proposes reframing mechanistic anomaly detection (MAD) as a functional attribution problem, using influence functions to measure how much a model's output depends on specific input samples,…