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Full-Text Articles in Computer Law
Platforms, Encryption, And The Cfaa: The Case Of Whatsapp V Nso Group, Jonathon Penney, Bruce Schneier
Platforms, Encryption, And The Cfaa: The Case Of Whatsapp V Nso Group, Jonathon Penney, Bruce Schneier
Articles, Book Chapters, & Popular Press
End-to-end encryption technology has gone mainstream. But this wider use has led hackers, cybercriminals, foreign governments, and other threat actors to employ creative and novel attacks to compromise or workaround these protections, raising important questions as to how the Computer Fraud and Abuse Act (CFAA), the primary federal anti-hacking statute, is best applied to these new encryption implementations. Now, after the Supreme Court recently narrowed the CFAA’s scope in Van Buren and suggested it favors a code-based approach to liability under the statute, understanding how best to theorize sophisticated code-based access barriers like end-to-end encryption, and their circumvention, is now …
Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar
Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar
Articles, Book Chapters, & Popular Press
In addition to their security properties, adversarial machine-learning attacks and defenses have political dimensions. They enable or foreclose certain options for both the subjects of the machine learning systems and for those who deploy them, creating risks for civil liberties and human rights. In this paper, we draw on insights from science and technology studies, anthropology, and human rights literature, to inform how defenses against adversarial attacks can be used to suppress dissent and limit attempts to investigate machine learning systems. To make this concrete, we use real-world examples of how attacks such as perturbation, model inversion, or membership inference …
Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar
Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar
Articles, Book Chapters, & Popular Press
This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …
Communications Disruption And Censorship Under International Law: History Lessons, Jonathon Penney
Communications Disruption And Censorship Under International Law: History Lessons, Jonathon Penney
Articles, Book Chapters, & Popular Press
With Internet censorship on the rise around the world, a variety of tools have proliferated to assist Internet users to circumvent such censorship. However, there are few studies examining the implications of censorship circumvention under international law, and its related politics. This paper aims to help fill some of that void, with an examination of case studies wherein global communications technologies have been disrupted or censored — telegram cable cutting and censorship, high frequency radio jamming, and direct broadcast satellite blocking — and how the world community responded to that disruption or censorship through international law and law making. In …