# MobilBye: Attacking ADAS with Camera Spoofing

arXiv: https://arxiv.org/abs/1906.09765 · HTML: https://mlsanity.com/paper/1906.09765/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jun 2019.

## Built on by (most cited first, 8 of 8)

- [Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses](https://mlsanity.com/paper/2104.01789/) (2021)
- [They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors](https://mlsanity.com/paper/2101.10011/) (2021)
- [Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses](https://mlsanity.com/paper/2605.02900/) (2026)
- [Light Lies: Optical Adversarial Attack](https://mlsanity.com/paper/2106.09908/) (2021)
- [Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey](https://mlsanity.com/paper/2210.11237/) (2022)
- [Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles](https://mlsanity.com/paper/2203.00150/) (2022)
- [DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder](https://mlsanity.com/paper/2111.03480/) (2021)
- [PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting](https://mlsanity.com/paper/2505.05183/) (2025)

## Abstract (arXiv)

Advanced driver assistance systems (ADASs) were developed to reduce the number of car accidents by issuing driver alert or controlling the vehicle. In this paper, we tested the robustness of Mobileye, a popular external ADAS. We injected spoofed traffic signs into Mobileye to assess the influence of environmental changes (e.g., changes in color, shape, projection speed, diameter and ambient light) on the outcome of an attack. To conduct this experiment in a realistic scenario, we used a drone to carry a portable projector which projected the spoofed traffic sign on a driving car. Our experiments show that it is possible to fool Mobileye so that it interprets the drone carried spoofed traffic sign as a real traffic sign.