6 citations · 17 across the 10 of their papers we have counts for
12 papers
AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory
Mattea Sim, Yael Eiger, Tadayoshi Kohno
AI-generated summaries are increasingly used in high-stakes settings, like policing, despite considerable evidence that AI often generates misleading or inaccurate information. Thi…
Reflections on Trusting Trust, Revisited: Contaminating Self-Modifying AI Coding Agents with Poisoned Benchmarks
Franziska Roesner, Tadayoshi Kohno
Thompson's "Reflections on Trusting Trust" showed that a compiler can be poisoned to reinsert its own backdoor, so that even recompiling clean source reproduces the Trojan. Today,…
Janus: a Playground for User-Involved Agentic Permission Management
Natalie Grace Brigham, Eugene Bagdasarian, Tadayoshi Kohno +1
AI agents that autonomously execute tool calls on a user's behalf raise pressing questions about permission management: what role could users play, and what role should they play?…
Extending the Formalism and Theoretical Foundations of Cryptography to AI
Federico Villa, F. Betül Durak, Tadayoshi Kohno +2
Recent progress in (Large) Language Models (LMs) has enabled the development of autonomous LM-based agents capable of executing complex tasks with minimal supervision. These agents…
Towards Automating Data Access Permissions in AI Agents
Yuhao Wu, Ke Yang, Franziska Roesner +3
As AI agents attempt to autonomously act on users' behalf, they raise transparency and control issues. We argue that permission-based access control is indispensable in providing m…
Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code
Rachel McAmis, Gregor Haas, Mattea Sim +2
Satellites face a multitude of security risks that set them apart from hardware on Earth. Small satellites may face additional challenges, as they are often developed on a budget a…
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…
Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexual Abuse
Miranda Wei, Sunny Consolvo, Patrick Gage Kelley +7
Image-based sexual abuse (IBSA), like other forms of technology-facilitated abuse, is a growing threat to people's digital safety. Attacks include unwanted solicitations for sexual…
"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…
Developing Story: Case Studies of Generative AI's Use in Journalism
Natalie Grace Brigham, Chongjiu Gao, Tadayoshi Kohno +2
Journalists are among the many users of large language models (LLMs). To better understand the journalist-AI interactions, we conduct a study of LLM usage by two news agencies thro…
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…
IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems
Yuhao Wu, Franziska Roesner, Tadayoshi Kohno +2
Large language models (LLMs) extended as systems, such as ChatGPT, have begun supporting third-party applications. These LLM apps leverage the de facto natural language-based autom…