2 citations · 5 across the 11 of their papers we have counts for
11 papers
SPILLage: Agentic Oversharing on the Web
Jaechul Roh, Eugene Bagdasarian, Hamed Haddadi +1
LLM-powered agents are beginning to automate user's tasks across the open web, often with access to user resources such as emails and calendars. Unlike standard LLMs answering ques…
Privacy Practices of Browser Agents
Alisha Ukani, Hamed Haddadi, Ali Shahin Shamsabadi +1
This paper presents a systematic evaluation of the privacy behaviors and attributes of eight recent, popular browser agents. Browser agents are software that automate Web browsing…
Membership and Memorization in LLM Knowledge Distillation
Ziqi Zhang, Ali Shahin Shamsabadi, Hanxiao Lu +2
Recent advances in Knowledge Distillation (KD) aim to mitigate the high computational demands of Large Language Models (LLMs) by transferring knowledge from a large ''teacher'' to…
Local Frames: Exploiting Inherited Origins to Bypass Content Blockers
Alisha Ukani, Hamed Haddadi, Alex C. Snoeren +1
We present a study of how local frames (i.e., iframes loading content like "about:blank") are mishandled by a wide range of popular Web security and privacy tools. As a result, use…
Measuring the Accuracy and Effectiveness of PII Removal Services
Jiahui He, Pete Snyder, Hamed Haddadi +2
This paper presents the first large-scale empirical study of commercial personally identifiable information (PII) removal systems -- commercial services that claim to improve priva…
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
Rob Romijnders, Stefanos Laskaridis, Ali Shahin Shamsabadi +1
Large Language Models (LLM) are typically trained on vast amounts of data from various sources. Even when designed modularly (e.g., Mixture-of-Experts), LLMs can leak privacy on th…
Web Execution Bundles: Reproducible, Accurate, and Archivable Web Measurements
Florian Hantke, Peter Snyder, Hamed Haddadi +1
Recently, reproducibility has become a cornerstone in the security and privacy research community, including artifact evaluations and even a new symposium topic. However, Web measu…
Secure and Confidential Certificates of Online Fairness
Olive Franzese, Ali Shahin Shamsabadi, Carter Luck +1
The black-box service model enables ML service providers to serve clients while keeping their intellectual property and client data confidential. Confidentiality is critical for de…
Nebula: Efficient, Private and Accurate Histogram Estimation
Ali Shahin Shamsabadi, Peter Snyder, Ralph Giles +2
We present \textit{Nebula}, a system for differentially private histogram estimation on data distributed among clients. \textit{Nebula} allows clients to independently decide wheth…
A First Look at Related Website Sets
Stephen McQuistin, Peter Snyder, Hamed Haddadi +1
We present the first measurement of the user-effect and privacy impact of "Related Website Sets," a recent proposal to reduce browser privacy protections between two sites if those…
Unbundle-Rewrite-Rebundle: Runtime Detection and Rewriting of Privacy-Harming Code in JavaScript Bundles
Mir Masood Ali, Peter Snyder, Chris Kanich +1
This work presents Unbundle-Rewrite-Rebundle (URR), a system for detecting privacy-harming portions of bundled JavaScript code and rewriting that code at runtime to remove the priv…