Adversarial Machine Learning | Estateplanning | Vibepedia.Network

Adversarial machine learning is a subfield of machine learning that focuses on the design of attacks against machine learning algorithms and the development of defenses against such attacks. This field has gained significant attention in recent years due to the increasing use of machine learning in high-stake applications, such as self-driving cars and medical diagnosis. Researchers like [[ian-goodfellow|Ian Goodfellow]] and [[jonathan-ullman|Jonathan Ullman]] have made significant contributions to this field.