1 citations · 2 across the 19 of their papers we have counts for
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Can Prompt Anonymity Protect Your Identity From LLM Providers?
Dzung Pham, Dillon Sheils, Naina Singh +1
User conversations with large language models (LLMs) often contain highly sensitive personal information that can be exploited by LLM providers to create detailed user dossiers, en…
DuplexJail: Spoken Interruption Attacks on Full-Duplex Speech Models
Jaechul Roh, Deepak Chandran, Amir Houmansadr +1
Full-duplex speech models accept user speech while generating responses, making input timing a potential safety concern. We introduce DuplexJail, which delivers fixed, request-inde…
Whose Agent Are You? Multi-Layer Fingerprinting and Attribution of Autonomous Web Agents
Dayeon Kang, Hyejun Jeong, Jade Sheffey +2
As AI web agents proliferate, combining large language models with autonomous, browser-level control, indiscriminate content scraping by web agents has emerged as a privacy and sec…
Can Large Language Models Really Recognize Your Name?
Dzung Pham, Peter Kairouz, Niloofar Mireshghallah +3
Large language models (LLMs) are increasingly being used in privacy pipelines to detect and remedy sensitive data leakage. These solutions often rely on the premise that LLMs can r…
CensorLab: A Testbed for Censorship Experimentation
Jade Sheffey, Amir Houmansadr
Censorship and censorship circumvention are closely connected, and each is constantly making decisions in reaction to the other. When censors deploy a new Internet censorship techn…
ProxyGPT: Enabling User Anonymity in LLM Chatbots via (Un)Trustworthy Volunteer Proxies
Dzung Pham, Jade Sheffey, Chau Minh Pham +1
Popular large language model (LLM) chatbots such as ChatGPT and Claude require users to create an account with an email or a phone number before allowing full access to their servi…
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
Ali Naseh, Katherine Thai, Mohit Iyyer +1
With the digital imagery landscape rapidly evolving, image stocks and AI-generated image marketplaces have become central to visual media. Traditional stock images now exist alongs…
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication
Ali Naseh, Jaechul Roh, Amir Houmansadr
Diffusion-based models, such as the Stable Diffusion model, have revolutionized text-to-image synthesis with their ability to produce high-quality, high-resolution images. These ad…
Diffence: Fencing Membership Privacy With Diffusion Models
Yuefeng Peng, Ali Naseh, Amir Houmansadr
Deep learning models, while achieving remarkable performances, are vulnerable to membership inference attacks (MIAs). Although various defenses have been proposed, there is still s…
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
Federated learning has emerged as a promising privacy-preserving solution for machine learning domains that rely on user interactions, particularly recommender systems and online l…
CensorSpoofer: Asymmetric Communication with IP Spoofing for Censorship-Resistant Web Browsing
Qiyan Wang, Xun Gong, Giang T. K. Nguyen +2
A key challenge in censorship-resistant web browsing is being able to direct legitimate users to redirection proxies while preventing censors, posing as insiders, from discovering…