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[PDF][PDF] Harnessing adversarial machine learning for advanced threat detection: AI-driven strategies in cybersecurity risk assessment and fraud prevention
The abstract is" The rapid evolution of cyber threats necessitates innovative defenses,
particularly in the domains of risk assessment and fraud detection. This paper explores the …
particularly in the domains of risk assessment and fraud detection. This paper explores the …
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
Smart grids are critical for addressing the growing energy demand due to global population
growth and urbanization. They enhance efficiency, reliability, and sustainability by …
growth and urbanization. They enhance efficiency, reliability, and sustainability by …
Deblurring as a Defense against Adversarial Attacks
The increased use of image classification models and the prevalence of autonomous
vehicles on roads has sparked a conversation regarding protecting these tools from …
vehicles on roads has sparked a conversation regarding protecting these tools from …
On the Cybersecurity of Logistics in the Age of Artificial Intelligence
M Kiviharju - Artificial Intelligence for Security: Enhancing Protection …, 2024 - Springer
Logistics and supply chain management make an enormous market globally, with an overall
value measured in trillions of dollars. Logistics is also deeply involved in national critical …
value measured in trillions of dollars. Logistics is also deeply involved in national critical …