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20232026
most citedEARBench: Towards Evaluating Physical Risk Awareness for Task Planning of Foundation Model-based Embodied AI Agents

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cs.LG2023

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

Baoyuan Wu, Zihao Zhu, Li Liu +3

Adversarial machine learning (AML) studies the adversarial phenomenon of machine learning, which may make inconsistent or unexpected predictions with humans. Some paradigms have be…