SOURCE-LINKED INTELLIGENCE
Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective
Neuro-Symbolic (NeSy) AI has recently emerged as a novel paradigm to enable trustworthy AI, aiming at integrating sub-symbolic neural perception with grounded symbolic reasoning. The neuro-symbolic integration process that characterizes these models has been proven beneficial to achieve more transparent, explainable and efficient AI systems. Meanwhile, their properties under adversarial settings have been overlooked being frequently deemed robust-by-design. However, the neural-symbolic integration process they leverage constitutes an additional layer of complexity that may provide an attack en
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T23:13:05.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.