AI & ML Breaks Assumption

MirrorDrift demonstrates a successful SLAM-targeted attack on production-grade 'secure' LiDARs using simple actuated mirrors rather than complex signal injection.

March 13, 2026

Original Paper

MirrorDrift: Actuated Mirror-Based Attacks on LiDAR SLAM

Rokuto Nagata, Kenji Koide, Kazuma Ikeda, Ozora Sako, Shion Horie, Kentaro Yoshioka

arXiv · 2603.11364

The Takeaway

It challenges the assumption that modern LiDAR defense mechanisms (like timing obfuscation) are sufficient to ensure geometric consistency. It reveals a fundamental physical vulnerability in scan-matching algorithms that practitioners in autonomous driving must address.

From the abstract

LiDAR SLAM provides high-accuracy localization but is fragile to point-cloud corruption because scan matching assumes geometric consistency. Prior physical attacks on LiDAR SLAM largely rely on LiDAR spoofing via external signal injection, which requires sensor-specific timing knowledge and is increasingly mitigated by modern defense mechanisms such as timing obfuscation and injection rejection. In this work, we show that specular reflection offers an injection-free alternative and demonstrate a