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cs.CR2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Kendra Albert, Maggie Delano, Bogdan Kulynych +1
Attacks from adversarial machine learning (ML) have the potential to be used "for good": they can be used to run counter to the existing power structures within ML, creating breath…
cs.CR2017★ 14 cited
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward
Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann
Operationalizing machine learning based security detections is extremely challenging, especially in a continuously evolving cloud environment. Conventional anomaly detection does n…