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20192026
most citedA Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency

2 citations · 2 across the 5 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2026

Pincer: Resource Authorization for Agents using a Digital Twin

Mayank Rathee, Alexander Stepanov, Shalin Madabhavi +3

Coding agents have become increasingly long-horizon, autonomous, reliant on general-purpose shell and maintain their own persistent memory for self-improvement. While these capabil…

cs.CR2026

The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark

Jeremy Spence, Nicholas Assaderaghi, Jinhao Zhu +9

AI agents are rapidly improving in cybersecurity when source code is available, yet much of the software most consequential to security, including malware, firmware, and proprietar…

cs.CR2026

Web Agents Should Adopt the Compile-and-Execute Paradigm

Julien Piet, Annabella Chow, Yiwei Hou +5

ReAct has become the default architecture across LLM agents, and many existing web agents follow this paradigm. We argue that it is the wrong default for web agents. Instead, web a…

cs.CR2026

Opal: Private Memory for Personal AI

Darya Kaviani, Alp Eren Ozdarendeli, Jinhao Zhu +2

Personal AI systems increasingly retain long-term memory of user activity, including documents, emails, messages, meetings, and ambient recordings. Trusted hardware can keep this d…

cs.CR2025

MiniScope: Authorizing Agents with Least-Privilege Permissions

Jinhao Zhu, Kevin Tseng, Gil Vernik +4

AI agents are increasingly granted autonomous access to sensitive user data and third-party services, making effective permission management a critical security challenge. Existing…

cs.CR2019★ 2 cited

A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency

Jinkun Cao, Jinhao Zhu, Liwei Lin +3

As cloud computing becomes prevalent in recent years, more and more enterprises and individuals outsource their data to cloud servers. To avoid privacy leaks, outsourced data usual…