Adversarial Computer Vision via Acoustic Manipulation of Camera Sensors

• Published in: IEEE transactions on dependable and secure computing Vol. 21; no. 4; pp. 3734 - 3750
• Main Authors: Cheng, Yushi, Ji, Xiaoyu, Zhu, Wenjun, Zhang, Shibo, Fu, Kevin, Xu, Wenyuan
• Format: Journal Article
• Language: English
• Published: Washington IEEE 01.07.2024; IEEE Computer Society
• Subjects: Acoustics; Adversarial machine learning; Algorithms; Automobiles; Blurring; Cameras; Computer vision; Detectors; Hardware; Image manipulation; Image quality; Image stabilizers; Inertial sensing devices; Inertial sensors; intelligent vehicle security; Machine learning; Motion compensation; Safety critical; Sensor systems; Sensors; Vision systems

Autonomous vehicles increasingly rely on camera-based computer vision systems to perceive environments and make critical driving decisions. To improve image quality, image stabilizers with inertial sensors are added to reduce image blurring caused by camera jitters. However, this trend creates a new...