40 citations · 51 across the 5 of their papers we have counts for
3 papers · 1 filter
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
Kendra Albert, Maggie Delano, Jonathon Penney +2
This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems…
Legal Risks of Adversarial Machine Learning Research
Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier +1
Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML systems such as those used in Facebook, Tesla, Microsoft, IBM, Google to demonstrat…
Politics of Adversarial Machine Learning
Kendra Albert, Jonathon Penney, Bruce Schneier +1
In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subject…