Vulnerability Analysis

Vulnerability analysis focuses on identifying weaknesses in systems, models, or algorithms to understand their susceptibility to attacks or failures. Current research emphasizes developing novel methods for assessing vulnerabilities across diverse domains, including power grids, software (like LLMs and OCR), and even CAPTCHAs, often leveraging techniques like attention mechanisms, federated learning, and deep learning models for both attack generation and defense. These analyses are crucial for enhancing security and resilience in critical infrastructure, software applications, and AI systems, informing the design of more robust and trustworthy technologies.