Seminar Topic: “Adversarial Machine Learning: Challenges, Defense Mechanisms, and Real-World Implications”
Abstract: Adversarial Machine Learning (AML) has emerged as a critical area of research, addressing the vulnerabilities of machine learning models to adversarial attacks. This seminar will explore the challenges posed by adversarial attacks on AI systems, the development of defense mechanisms, and the real-world implications of securing machine learning models against sophisticated adversaries. We will…