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AI-generated synthetic datasets can fill the critical data void in smart city cybersecurity, enabling more effective threat modeling and defense evaluation.
Context-based adversarial attacks can amplify code generation vulnerabilities by over 10 times, exposing critical flaws in popular AI models.
Existing DGA detectors, both heuristic and ML-based, struggle to keep up with the evolving tactics used in mobile spearphishing, highlighting a critical gap in current security measures.
