Defenses Against Artificial Intelligence Attacks

The integration of artificial intelligence has led to significant advancements across industries but also exposed systems to security vulnerabilities. We evaluate defense methods, including robust data practices, adversarial training, model hardening, fairness-aware algorithms, and privacy-preserving techniques, and highlight each method’s effectiveness in addressing specific vulnerabilities.