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IEEE/ICACT20260055 Slide.04        [Big Slide]	Oral Presentation
	There is a growing demand for improving detection models, as cyberattacks have become increasingly sophisticated and PDF files have become a common target. Previous research has demonstrated the security risks associated with PDF files due to threats such as adversarial evasion and obfuscation techniques, as well as their inherent nature [16], [17]. Several studies have addressed this issue using keyword analysis, adversarial resiliency, abstract interpretation, and image databases. There is still a need for greater scalability, robustness, and accuracy, especially when faced with evolving obfuscation techniques and adversarial counterattacks.

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