176 citations · 460 across the 12 of their papers we have counts for
12 papers
Can deepfakes be created by novice users?
Pulak Mehta, Gauri Jagatap, Kevin Gallagher +5
Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that novic…
Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories
Cameron Ballard, Ian Goldstein, Pulak Mehta +6
Conspiracy theories are increasingly a subject of research interest as society grapples with their rapid growth in areas such as politics or public health. Previous work has establ…
The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions
Chau Tran, Kaylea Champion, Benjamin Mako Hill +1
Many online communities rely on postpublication moderation where contributors, even those that are perceived as being risky, are allowed to publish material immediately and where m…
The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums
Emily Tseng, Rosanna Bellini, Nora McDonald +5
Abusers increasingly use spyware apps, account compromise, and social engineering to surveil their intimate partners, causing substantial harms that can culminate in violence. This…
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain
Yigit Alparslan, Ken Alparslan, Jeremy Keim-Shenk +2
Numerous recent studies have demonstrated how Deep Neural Network (DNN) classifiers can be fooled by adversarial examples, in which an attacker adds perturbations to an original sa…
A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users
Kaylea Champion, Nora McDonald, Stephanie Bankes +4
By choice or by necessity, some contributors to commons-based peer production sites use privacy-protecting services to remain anonymous. As anonymity seekers, users of the Tor netw…
Are anonymity-seekers just like everybody else? An analysis of contributions to Wikipedia from Tor
Chau Tran, Kaylea Champion, Andrea Forte +2
User-generated content sites routinely block contributions from users of privacy-enhancing proxies like Tor because of a perception that proxies are a source of vandalism, spam, an…
Under the Underground: Predicting Private Interactions in Underground Forums
Rebekah Overdorf, Carmela Troncoso, Rachel Greenstadt +1
Underground forums where users discuss, buy, and sell illicit services and goods facilitate a better understanding of the economy and organization of cybercriminals. Prior work has…
How Unique is Your .onion? An Analysis of the Fingerprintability of Tor Onion Services
Rebekah Overdorf, Marc Juarez, Gunes Acar +2
Recent studies have shown that Tor onion (hidden) service websites are particularly vulnerable to website fingerprinting attacks due to their limited number and sensitive nature. I…
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments
Edwin Dauber, Aylin Caliskan, Richard Harang +4
Program authorship attribution has implications for the privacy of programmers who wish to contribute code anonymously. While previous work has shown that complete files that are i…
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber +4
The ability to identify authors of computer programs based on their coding style is a direct threat to the privacy and anonymity of programmers. While recent work found that source…
Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location
Lex Fridman, Steven Weber, Rachel Greenstadt +1
Active authentication is the problem of continuously verifying the identity of a person based on behavioral aspects of their interaction with a computing device. In this study, we…