1 citations · 1 across the 4 of their papers we have counts for
5 papers
SPIDES: Information-Flow Control for Browser Agents
Egor Zverev, Juhee Kim, Leon Trampert +4
Browser agents automate complex workflows by reading and acting on arbitrary page content, but this flexibility exposes them to prompt injection attacks and unintended data exfiltr…
Agent Data Injection Attacks are Realistic Threats to AI Agents
Woohyuk Choi, Juhee Kim, Taehyun Kang +3
AI agents act on behalf of user prompts, consuming external data and taking actions based on the agent context. Prior research on AI agent security has primarily focused on indirec…
DualView: Preventing Indirect Prompt Injection in Personal AI Agents
Juhee Kim, Woohyuk Choi, Taehyun Kang +2
Personal AI agents that run on the user's local machine automate daily tasks including web search, email, and file management. Their access to computer resources, including the net…
Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
Juhee Kim, Woohyuk Choi, Byoungyoung Lee
Large Language Models (LLMs) are combined with tools to create powerful LLM agents that provide a wide range of services. Unlike traditional software, LLM agent's behavior is deter…
TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Juhee Kim, Jinbum Park, Sihyeon Roh +4
ARM Memory Tagging Extension (MTE) is a new hardware feature introduced in ARMv8.5-A architecture, aiming to detect memory corruption vulnerabilities. The low overhead of MTE makes…