Adversarial Patch Generation Using Region Search for Flexible Attacks
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Solution Overview
Problem
Existing patch-based adversarial attack methods for computer vision neural networks are limited by fixed positions and shapes of adversarial patches, leading to poor attack performance and inefficiency in evaluating the safety of these networks, particularly in physical scenarios.
Innovation Solution
Optimize the positions, shapes, and textures of adversarial patches by segmenting images into regions and using discrete search techniques to select target regions, allowing for flexible and effective adversarial patch generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed positions and shapes of adversarial patches are used, then the device complexity is reduced, but the attack performance deteriorates
Solution Approach 1:
The patent makes the patch positions and shapes dynamic by optimizing them according to the image content and target object locations. Instead of using fixed predetermined positions, the system dynamically determines optimal patch configurations based on the specific image being attacked, thereby improving attack performance while maintaining manageable complexity through automated optimization
Solution Approach 2:
The patent changes the parameters of adversarial patches (positions, shapes, sizes) from fixed values to optimized variables. By treating patch parameters as adjustable variables that can be optimized through discrete search methods, the system achieves better attack performance without requiring complex manual configuration
2Adaptability or versatility
If discrete search is used to select target regions, then the adaptability to different images is improved, but the computing time increases
Solution Approach 1:
The patent segments the image into multiple candidate regions before performing discrete search. By dividing the image into predefined regions of interest, the search space is significantly reduced compared to searching all possible positions, thereby maintaining high adaptability while reducing computing time
Solution Approach 2:
The patent performs discrete search only on selected candidate regions rather than exhaustively searching the entire image space. This partial search approach focuses computational resources on the most promising areas, achieving good adaptability with reduced computing time
Data Source
AI summary
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.