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Mubarak Shah

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#artificial intelligence Preprint Oct 2026

CredLeakBench: Evaluating Credential Leakage and Recovery in LLM Agents

Language model agents are increasingly deployed to automate everyday digital chores from managing emails and social media to handling banking and bills allowing users to step away from supervision. However, this capability also exposes sensitive information to phishing. Safe execution requires distinguishing malicious...

Rafid Ahmed, Joseph Fioresi, Mubarak Shah et al. · 0 citations
Preprint Aug 2026

Pixel-wise Geo-registration of Drone and Satellite Images

SkyReg is introduced, a dataset and standardized benchmark for pixel-level drone-to-satellite geo-registration, providing dense per-pixel geo-location supervision across diverse settings (orthographic and perspective), scene types, and camera configurations.

Qingyang Liu, D. Shatwell, P. Kulkarni et al. · 0 citations
Jul 2026

Controlling Embedding Spaces with Text-Conditioned Transformations

This work proposes a text-conditioned transformation of visual embeddings that makes such attributes explicitly accessible and provides a unified and efficient framework for controlling embedding spaces, demonstrating state-of-the-art performance across both attribute-based retrieval and multi-attribute organization ta...

Joseph Fioresi, Fabian Caba Heilbron, Pankaj Nathani et al. · 0 citations

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