We are thrilled to announce that our journal paper entitled “Comprehensive Evaluation and Defense against Adversarial Fog Attacks on LiDAR-Based Autonomous Driving” has been accepted for publication in the Journal of Information Processing (JIP). Congratulations to Tanaka-kun and kudos to the entire team!

This paper is an extended journal version of our ACM AsiaCCS 2025 paper. In this work, we present a comprehensive evaluation of Adversarial Fog Attacks (AFA), which exploit vulnerabilities of point cloud preprocessing filters in LiDAR-based autonomous driving. We systematically analyze how environmental and attack parameters affect the attack effectiveness, physically validate the attack across multiple LiDAR models, and investigate post-detection avoidance behaviors together with practical defense strategies. The paper has been published in Vol. 34, pp. 748–774 (September 2026) and is available on J-STAGE.

Yuna Tanaka, Kazuki Nomoto, Ryunosuke Kobayashi, Go Tsuruoka, and Tatsuya Mori, "Comprehensive Evaluation and Defense against Adversarial Fog Attacks on LiDAR-Based Autonomous Driving." Journal of Information Processing, Vol. 34, pp. 748–774, Sep 2026. [J-STAGE]