29 citations · 68 across the 13 of their papers we have counts for
15 papers
What It Is, Not What It Says: Securing Agentic Browsing Interactions with Web Semantics
Umar Iqbal
AI agents increasingly browse the web on users' behalf, yet they consume webpages as screenshots or text, exposing their LLMs to unvetted third-party content. Browsers enforce sema…
Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
Haofei Xu, Umar Iqbal, Jacob M. Montgomery
Google AI Overviews (AIOs) are arguably the most widely encountered deployment of generative AI, reaching over 2 billion users who may not realize the answers they see are AI-gener…
Agent-Sentry: Bounding LLM Agents via Execution Provenance
Rohan Sequeira, Stavros Damianakis, Umar Iqbal +1
Agentic computing systems, while immensely capable, raise serious security, privacy, and safety concerns. A key issue is that the full set of functionalities offered by these syste…
SoK: Advances and Open Problems in Web Tracking
Yash Vekaria, Yohan Beugin, Shaoor Munir +11
Web tracking is a pervasive and opaque practice that enables personalized advertising, retargeting, and conversion tracking. Over time, it has evolved into a sophisticated and inva…
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…
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
Umar Iqbal, Tadayoshi Kohno, Franziska Roesner
Large language model (LLM) platforms, such as ChatGPT, have recently begun offering an app ecosystem to interface with third-party services on the internet. While these apps extend…