Run Wang

Run Wang

PhD Student at Clemson University

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2025

SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats

3 minute read

Published:

Autonomous vehicles (AVs)—including self-driving cars, robots, and drones—rely heavily on multi-modal sensor pipelines to operate safely. However, these sensors are known to be vulnerable to adversarial attacks. A major gap in current research is the lack of a systematic ecosystem view: how exactly do sensor-induced errors propagate through the interconnected modules of an AV to eventually cause physical harm?

Investigating Physical Latency Attacks Against Camera-Based Perception

2 minute read

Published:

In the rapidly evolving field of autonomous systems, visual perception is the cornerstone of safe navigation. A recent paper titled “Investigating Physical Latency Attacks Against Camera-Based Perception”, accepted to the 2025 IEEE Symposium on Security and Privacy (S&P), introduces a novel and concerning threat vector: Detstorm.

FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems

2 minute read

Published:

Autonomous Target Tracking (ATT) systems, especially in drones, are becoming increasingly common for surveillance and photography. However, their reliance on visual tracking algorithms introduces significant security vulnerabilities. A new paper titled “FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems” exposes a critical flaw that allows attackers to manipulate drones into dangerous proximity.

Cross-Country Road Trip: Columbus to LA

1 minute read

Published:

This winter, I embarked on an epic cross-country road trip, driving over 2,200 miles from Columbus, Ohio to Los Angeles, California. It was an unforgettable journey through the changing landscapes of America.