Signal Injection Attacks against CCD Image Sensors
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Abstract (arXiv)
Since cameras have become a crucial part in many safety-critical systems and applications, such as autonomous vehicles and surveillance, a large body of academic and non-academic work has shown attacks against their main component - the image sensor. However, these attacks are limited to coarse-grained and often suspicious injections because light is used as an attack vector. Furthermore, due to the nature of optical attacks, they require the line-of-sight between the adversary and the target camera. In this paper, we present a novel post-transducer signal injection attack against CCD image sensors, as they are used in professional, scientific, and even military settings. We show how electromagnetic emanation can be used to manipulate the image information captured by a CCD image sensor with the granularity down to the brightness of individual pixels. We study the feasibility of our attack and then demonstrate its effects in the scenario of automatic barcode scanning. Our results indicate that the injected distortion can disrupt automated vision-based intelligent systems.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 6 of its 47 references that are in the map. First posted on arXiv 19 Aug 2021.
Builds on
6 of 47 references.
References · 6
- 2019Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Drivingcited by 151
- 2020Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effectcited by 40
- 2021They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensorscited by 17
- 2020Light Commands: Laser-Based Audio Injection Attacks on Voice-Controllable Systemscited by 16
- 2018Injected and Delivered: Fabricating Implicit Control over Actuation Systems by Spoofing Inertial Sensorscited by 10
- 2019Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defensescited by 3
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 4; 2025: 1.
6 papers.
- 2024Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attackscited by 6
- 2024Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detectioncited by 5
- 2022RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compressioncited by 4
- 2024PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDARcited by 3
- 2024A Simulation Framework for Electromagnetic Signal Injection Attacks on Image Sensorscited by 2
- 2025Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensorscited by 1
- 2025Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensors10 Jul 2025
- 2024PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR26 Sep 2024
- 2024Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks22 Sep 2024
- 2024A Simulation Framework for Electromagnetic Signal Injection Attacks on Image Sensors9 Aug 2024
- 2024Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection23 Jul 2024
- 2022RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression18 Mar 2022