Adversarial Attacks

Adversarial attacks refer to the deliberate manipulation of machine learning models to cause them to misbehave or produce incorrect results, often by subtly altering input data. As AI becomes increasingly integral to various industries, understanding adversarial attacks is crucial for researchers and developers to ensure the reliability and security of their models, and to develop effective countermeasures against potential threats.