Method and system for generating image adversarial examples based on an acoustic wave

A system for generating image adversarial examples based on an acoustic wave, comprising:

• means for acquiring an image containing a target object or a target scene;
• means for generating simulated image examples for the acquired image by using an acoustic wave-based adversarial example simulation model, wherein the simulated image examples have adversarial effects on a deep learning algorithm in a target machine vision system;
• means for optimizing the generated simulated image examples by using an adversarial example optimization method to obtain optimal adversarial examples and corresponding adversarial parameters;
• and
• means for injecting the adversarial parameters into an inertial sensor of the target machine vision system in a manner of an acoustic wave by using an inertial sensor reading injection method, such that the adversarial parameters are used as sensor readings that will cause an image stabilization module in the target machine vision system to operate to generate particular blurry patterns in a generated real-world image so as to generate an image adversarial example in a physical world.