Publication | Open Access
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
39
Citations
16
References
2020
Year
Artificial IntelligenceEngineeringMachine LearningAi SafetyAdvanced Driver-assistance SystemAutonomous SystemsIntelligent SystemsImage AnalysisPattern RecognitionAdversarial Machine LearningObject DetectorsSystems EngineeringSynthetic Image GenerationMachine VisionObject DetectionPhysical Adversarial ExamplesAutomotive SecurityComputer ScienceCarla SimulatorHuman Image SynthesisAutonomous DrivingDeep LearningVehicle SurfaceComputer VisionGenerative Adversarial NetworkObject Recognition
In this paper, we tackle the issue of physical adversarial examples for object detectors in the wild. Specifically, we proposed to generate adversarial patterns to be applied on vehicle surface so that it's not recognizable by detectors in the photo-realistic Carla simulator. Our approach contains two main techniques, an Enlarge-and-Repeat process and a Discrete Searching method, to craft mosaic-like adversarial vehicle textures without access to neither the model weight of the detector nor a differential rendering procedure. The experimental results demonstrate the effectiveness of our approach in the simulator.
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