Adversarial Attacking in Machine Learning Models
Adversarial attacks are a type of attack where a malicious attacker tries to trick a machine learning system into making erroneous decisions. This happens because ML models are trained using data from real-world scenarios. The problem is that these models are often vulnerable to such attacks. Continue reading