Robert bosch gmbh (20240193931). METHOD AND APPARATUS FOR GENERATING ADVERSARIAL PATCH simplified abstract
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METHOD AND APPARATUS FOR GENERATING ADVERSARIAL PATCH
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METHOD AND APPARATUS FOR GENERATING ADVERSARIAL PATCH - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193931 titled 'METHOD AND APPARATUS FOR GENERATING ADVERSARIAL PATCH
- Simplified Explanation:**
This patent application describes a method for creating adversarial patches for images by segmenting the image into regions, selecting target regions based on specific criteria, and generating patches from these target regions.
- Key Features and Innovation:**
- Segmentation of the image into multiple regions
- Selection of target regions based on attacking criteria
- Discrete search for target regions
- Generation of adversarial patches from selected target regions
- Potential Applications:**
This technology could be used in image recognition systems, security applications, and digital watermarking.
- Problems Solved:**
This method addresses the need for creating adversarial patches to test the robustness of image recognition systems and improve security measures.
- Benefits:**
- Enhances the security testing of image recognition systems
- Provides a method for generating adversarial patches efficiently
- Can be used to improve the robustness of machine learning algorithms
- Commercial Applications:**
Potential commercial applications include cybersecurity companies, image recognition software developers, and companies focused on digital security solutions.
- Prior Art:**
Researchers in the field of adversarial attacks in machine learning and computer vision may have explored similar methods for generating adversarial patches.
- Frequently Updated Research:**
Researchers in the field of computer vision and machine learning are constantly exploring new methods for generating adversarial examples and testing the robustness of AI systems.
- Questions about Adversarial Patches:**
1. How do adversarial patches impact the performance of image recognition systems? 2. What are the potential ethical implications of using adversarial patches in security testing?
Original Abstract Submitted
a method for generating a set of adversarial patches for an image. the method includes segmenting the image into a plurality of regions; selecting a set of target regions that satisfies an attacking criterion by discretely searching of the plurality of regions; and generating a set of adversarial patches by using the set of target regions.
