94 citations · 459 across the 33 of their papers we have counts for
34 papers
"I Thought You Were The Uncensored Place": Norms, Rules, and Moderation in AI-Generated Sexual Content Communities
Lucy Qin, Jaron Mink, Elissa M. Redmiles
As AI-generated sexual content (AIG-SC) is increasingly produced, online communities have emerged to support creators' needs. To understand whether and how community governance att…
"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
Jaron Mink, Lucy Qin, Elissa M. Redmiles
AI-generated media is radically changing the way content is both consumed and produced on the internet, and in no place is this potentially more visible than in sexual content. AI-…
"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected Wikipedia Data
Harold Triedman, Jayshree Sarathy, Priyanka Nanayakkara +4
In response to calls for open data and growing privacy threats, organizations are increasingly adopting privacy-preserving techniques such as differential privacy (DP) that inject…
Evaluating Concept Filtering Defenses against Child Sexual Abuse Material Generation by Text-to-Image Models
Ana-Maria Cretu, Klim Kireev, Amro Abdalla +5
We evaluate the effectiveness of filtering child images from training datasets of text-to-image models to prevent model misuse to create child sexual abuse material (CSAM). First,…
Stop the Nonconsensual Use of Nude Images in Research
Princessa Cintaqia, Arshia Arya, Elissa M Redmiles +3
In order to train, test, and evaluate nudity detection models, machine learning researchers typically rely on nude images scraped from the Internet. Our research finds that this co…
A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
Klim Kireev, Ana-Maria Creţu, Raphael Meier +3
Platforms and the law regulate digital content depicting minors (defined as individuals under 18 years of age) differently from other types of content. Given the sheer amount of co…
Analyzing the AI Nudification Application Ecosystem
Cassidy Gibson, Daniel Olszewski, Natalie Grace Brigham +5
Given a source image of a clothed person (an image subject), AI-based nudification applications can produce nude (undressed) images of that person. Moreover, not only do such appli…
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart, Priyanka Nanayakkara, Rachel Cummings +2
Differential privacy is a popular privacy-enhancing technology that has been deployed both in industry and government agencies. Unfortunately, existing explanations of differential…
Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience
Gabriel Lima, Nina Grgić-Hlača, Elissa Redmiles
Breakthroughs in generative AI (GenAI) have fueled debates concerning the artistic and legal status of AI-generated creations. We investigate laypeople's perceptions ()…
The Role of Privacy Guarantees in Voluntary Donation of Private Health Data for Altruistic Goals
Ruizhe Wang, Roberta De Viti, Aarushi Dubey +1
The voluntary donation of private health information for altruistic purposes, such as supporting research advancements, is a common practice. However, concerns about data misuse an…
"Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagery
Natalie Grace Brigham, Miranda Wei, Tadayoshi Kohno +1
AI technology has enabled the creation of deepfakes: hyper-realistic synthetic media. We surveyed 315 individuals in the U.S. on their views regarding the hypothetical non-consensu…
SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors
Miranda Wei, Jaron Mink, Yael Eiger +3
Researchers are increasingly exploring how gender, culture, and other sociodemographic factors correlate with user computer security and privacy behaviors. To more holistically und…
Safer Digital Intimacy For Sex Workers And Beyond: A Technical Research Agenda
Vaughn Hamilton, Gabriel Kaptchuk, Allison McDonald +1
Many people engage in digital intimacy: sex workers, their clients, and people who create and share intimate content recreationally. With this intimacy comes significant security a…
"Did They F***ing Consent to That?": Safer Digital Intimacy via Proactive Protection Against Image-Based Sexual Abuse
Lucy Qin, Vaughn Hamilton, Sharon Wang +3
As many as 8 in 10 adults share intimate content such as nude or lewd images. Sharing such content has significant benefits for relationship intimacy and body image, and can offer…
Problematic Advertising and its Disparate Exposure on Facebook
Muhammad Ali, Angelica Goetzen, Alan Mislove +2
Targeted advertising remains an important part of the free web browsing experience, where advertisers' targeting and personalization algorithms together find the most relevant audi…
Likes and Fragments: Examining Perceptions of Time Spent on TikTok
Angelica Goetzen, Ruizhe Wang, Elissa M. Redmiles +2
Researchers use information about the amount of time people spend on digital media for numerous purposes. While social media platforms commonly do not allow external access to meas…
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings +2
Differential privacy (DP) is a mathematical privacy notion increasingly deployed across government and industry. With DP, privacy protections are probabilistic: they are bounded by…
Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations
Savvas Zannettou, Olivia-Nemes Nemeth, Oshrat Ayalon +4
Short-format videos have exploded on platforms like TikTok, Instagram, and YouTube. Despite this, the research community lacks large-scale empirical studies into how people engage…
Examining the Landscape of Digital Safety and Privacy Assistance for Black Communities
Nikita Samarin, Aparna Krishnan, Moses Namara +2
Recent events have placed a renewed focus on the issue of racial justice in the United States and other countries. One dimension of this issue that has received considerable attent…
"Nudes? Shouldn't I charge for these?" : Motivations of New Sexual Content Creators on OnlyFans
Vaughn Hamilton, Ananta Soneji, Allison McDonald +1
With over 1.5 million content creators, OnlyFans is one of the fastest growing subscription-based social media platforms. The platform is primarily associated with sexual content.…
Risk, Resilience and Reward: Impacts of Shifting to Digital Sex Work
Vaughn Hamilton, Hanna Barakat, Elissa M. Redmiles
Workers from a variety of industries rapidly shifted to remote work at the onset of the COVID-19 pandemic. While existing work has examined the impact of this shift on office worke…
Ethics and Efficacy of Unsolicited Anti-Trafficking SMS Outreach
Rasika Bhalerao, Nora McDonald, Hanna Barakat +3
The sex industry exists on a continuum based on the degree of work autonomy present in labor conditions: a high degree exists on one side of the continuum where independent sex wor…
"I need a better description'': An Investigation Into User Expectations For Differential Privacy
Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles
Despite recent widespread deployment of differential privacy, relatively little is known about what users think of differential privacy. In this work, we seek to explore users' pri…
Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021
Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles
People's privacy sentiments influence changes in legislation as well as technology design and use. While single-point-in-time investigations of privacy sentiment offer useful insig…