Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks
inforesearchPeer-Reviewed
securityresearch
Source: ACM Digital Library (TOPS, DTRAP, CSUR)May 16, 2026
Summary
This is a survey paper that examines vulnerabilities and attack methods targeting embodied AI systems (AI systems that control physical robots or devices in the real world). The paper reviews the landscape of security risks in embodied AI and appears to focus on understanding these threats rather than proposing specific fixes.
Classification
Attack SophisticationModerate
Impact (CIA+S)
confidentialityintegrityavailability
Monthly digest — independent AI security research
Original source: https://dl.acm.org/doi/abs/10.1145/3806048?af=R
First tracked: May 16, 2026 at 08:00 AM
Classified by LLM (prompt v3) · confidence: 85%