AI-Powered Cybersecurity in Consumer Tech Systems

Artificial intelligence (AI) has become essential to consumer technology systems, driving advancements in FinTech, smart homes, autonomous driving, and healthcare, among other domains. However, this integration has exposed significant susceptibilities, particularly through adversarial examples (ADVs) that exploit AI models to bypass detection mechanisms. These ADVs pose critical security threats across various applications, including biometric recognition, Internet of Things devices, malware detection, and image recognition systems, with deep implications for privacy, safety, and functionality. Addressing these challenges requires innovative federated learning approaches and hybrid detection systems leveraging AI, machine learning, and metaheuristic algorithms.