Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

Emerging NIST guidance suggests that the long-standing practice of treating AI as “just software” for cybersecurity purposes ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Gunfire echoed through Tehran Tuesday as heavily armed militias were deployed across the Iranian capital, transforming some districts into fortified zones under intense security. Video footage showed ...

Financial institutions have spent years strengthening machine learning systems to withstand fraud, volatility, and regulatory scrutiny. Yet new research suggests a critical blind spot remains. Models ...

Abstract: In the seller-buyer setting on machine learning models, the seller generates different copies based on the original model and distributes them to buyers, such that adversarial samples ...

Abstract: Recent advances in adversarial machine learning have shown that defenses previously considered robust are actually susceptible to adversarial attacks which are specifically customized to ...

1 Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Kampala, Uganda 2 Department of Publication and Extension, Kampala International University, ...