Adversarial Machine Learning is the study of effective machine learning techniques against an adversarial opponent. It aims to enable the safe adoption of machine learning techniques in adversarial settings like spam filtering, malware detection and biometric recognition. Adversarial learning is a novel research field that lies at the intersection of machine learning and computer security. It aims at enabling the safe adoption of machine learning techniques in adversarial settings like spam filtering, computer security, and biometric recognition.
Adversarial Machine Learning
