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Full-Text Articles in Privacy Law

Good Health And Good Privacy Go Hand-In-Hand (Originally Published By Jnslp), Jennifer Daskal Oct 2020

Good Health And Good Privacy Go Hand-In-Hand (Originally Published By Jnslp), Jennifer Daskal

Joint PIJIP/TLS Research Paper Series

No abstract provided.


Cryptography, Passwords, Privacy, And The Fifth Amendment, Gary C. Kessler, Ann M. Phillips Aug 2020

Cryptography, Passwords, Privacy, And The Fifth Amendment, Gary C. Kessler, Ann M. Phillips

Journal of Digital Forensics, Security and Law

Military-grade cryptography has been widely available at no cost for personal and commercial use since the early 1990s. Since the introduction of Pretty Good Privacy (PGP), more and more people encrypt files and devices, and we are now at the point where our smartphones are encrypted by default. While this ostensibly provides users with a high degree of privacy, compelling a user to provide a password has been interpreted by some courts as a violation of our Fifth Amendment protections, becoming an often insurmountable hurdle to law enforcement lawfully executing a search warrant. This paper will explore some of the …


The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin Aug 2020

The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.


Is Data Localization A Solution For Schrems Ii?, Anupam Chander Jul 2020

Is Data Localization A Solution For Schrems Ii?, Anupam Chander

Georgetown Law Faculty Publications and Other Works

For the second time this decade, the Court of Justice of the European Union has struck a blow against the principal mechanisms for personal data transfer to the United States. In Data Protection Commissioner v Facebook Ireland, Maximillian Schrems, the Court declared the EU-US Privacy Shield invalid and placed significant hurdles to the process of transferring personal data from the European Union to the United States via the mechanism of Standard Contractual Clauses. Many have begun to suggest data localization as the solution to the problem of data transfer; that is, don’t transfer the data at all. I argue …


The First Amendment And Data Privacy: Securing Data Privacy Laws That Withstand Constitutional Muster, Kathryn Peyton Jul 2020

The First Amendment And Data Privacy: Securing Data Privacy Laws That Withstand Constitutional Muster, Kathryn Peyton

Pepperdine Law Review

Given the growing ubiquity of digital technology’s presence in people’s lives today, it is becoming increasingly more necessary to secure data privacy protections. People interact with technology constantly, ranging from when engaging in business activates, such as corresponding through emails or doing research online, to more innocuous activities like driving, shopping, or talking with friends and family. The advances in technology have made possible the creation of digital trails whenever someone interacts with such technology. Companies aggregate data from data trails and use predictive analytics to create detailed profiles about citizen-consumers. This information is typically used for profit generating purposes. …


Can Pipeda ‘Face’ The Challenge? An Analysis Of The Adequacy Of Canada’S Private Sector Privacy Legislation Against Facial Recognition Technology, Tunca Bolca Jun 2020

Can Pipeda ‘Face’ The Challenge? An Analysis Of The Adequacy Of Canada’S Private Sector Privacy Legislation Against Facial Recognition Technology, Tunca Bolca

Canadian Journal of Law and Technology

Facial recognition technology is one of the most intrusive and privacy threatening technologies available today. The literature around this technology mainly focuses on its use by the public sector as a mass surveillance tool; however, the private sector uses of facial recognition technologies also raise significant privacy concerns. This paper aims to identify and examine the privacy implications of the private sector uses of facial recognition technologies and the adequacy of Canada’s federal private sector privacy legislation, the Personal Information Protection and Electronic Documents Act (PIPEDA), in addressing these privacy concerns. Facial templates produced and recorded by these technologies are …


The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D. May 2020

The Limits And Possibilities Of Data-Driven Antitrafficking Efforts, Jennifer Musto Ph.D.

Georgia State University Law Review

An examination of technology in the countertrafficking space reveals recurring tensions between law enforcement and rights-based approaches. It also illuminates assumptions, such as the one that posits more law enforcement-focused, nonstate-actor-supported data-driven efforts are necessary to securing justice for people in trafficking situations. However, a closer look at how technology is used and by whom also invites us to ask different questions and to leverage the power of our all-too-human creative potential in thinking about how to value and prioritize data ethics, transparency, and accountability in future countertrafficking work.


Closed Adoption: An Illusory Promise To Birth Parents And The Changing Landscape Of Sealed Adoption Records, Bryn Baffer Jan 2020

Closed Adoption: An Illusory Promise To Birth Parents And The Changing Landscape Of Sealed Adoption Records, Bryn Baffer

Catholic University Journal of Law and Technology

Imagine spitting into a tube and mailing your DNA off only to discover that you had a sibling who had been adopted by another family or that a parent’s affair had resulted in a half-sibling. For many individuals, these family secrets have been exposed due to direct-to-consumer DNA testing companies, such as 23andMe.

By the 1950s, most states had enacted statutes that sealed adoption record files in order to preserve the privacy of the birth parents, adoptees, and adoptive families. While some states have moved toward granting adoptees access to their adoption records, most states still have some type of …


Protecting Online Privacy In The Digital Age: Carpenter V. United States And The Fourth Amendment’S Third-Party Doctrine, Cristina Del Rosso, Carol M. Bast Jan 2020

Protecting Online Privacy In The Digital Age: Carpenter V. United States And The Fourth Amendment’S Third-Party Doctrine, Cristina Del Rosso, Carol M. Bast

Catholic University Journal of Law and Technology

The goal of this paper is to examine the future of the third-party doctrine with the proliferation of technology and the online data we are surrounded with daily, specifically after the Supreme Court’s decision in Carpenter v. United States. It is imperative that individuals do not forfeit their Constitutional guarantees for the benefit of living in a technologically advanced society. This requires an understanding of the modern-day functional equivalents of “papers” and “effects.”

Looking to the future, this paper contemplates solutions on how to move forward in this technology era by scrutinizing the relevancy of the third-party doctrine due …


Politics Of Adversarial Machine Learning, Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar Jan 2020

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 …