What are the future trends in adversarial attacks on AI systems?

What are the future trends in adversarial attacks on AI systems?

The future of adversarial attacks is likely to see more sophisticated techniques, including targeted attacks that exploit specific vulnerabilities in AI models.

How can AI systems be better protected against these attacks?

Improving robustness through adversarial training, regularization techniques, and continuous monitoring can help protect AI systems.

Are there any recent advancements in detecting adversarial attacks?

Yes, recent advancements include the development of detection algorithms that can identify adversarial inputs in real-time.

What role does explainability play in mitigating adversarial attacks?

Explainability helps in understanding model decisions, which can reveal potential vulnerabilities and improve defenses against adversarial attacks.