Using GPT‑style Models for Malware Code Generation
Technical overview of generative models used maliciously and defenses.
defense
How to Harden AI Models Against Poisoning Attacks
Techniques include robust training, anomaly detection in datasets, and secure aggregation.
GANs Used for Attack & Defense
GAN use-cases for synthetic data generation and adversarial testing.
Understanding Adversarial Attacks in Machine Learning
Artificial Intelligence (AI) is revolutionizing the cybersecurity landscape by enabling faster, more accurate detection of threats and vulnerabilities. This article explores mechanics of adversarial attacks and defenses.