As AI becomes increasingly integrated into our lives, the need to secure it against adversarial threats becomes paramount.
While everyone talks about data protection and building transparent AI models, a less discussed yet critical concern looms large: adversarial machine learning (AML). This emerging field of cybersecurity exposes the vulnerabilities of AI systems, one where even slight manipulation can lead to disastrous consequences, as we have witnessed in several cases over the last few years.
(AIM)