activity
20192026
most citedSHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection

14 citations · 36 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CR2026

Recovering Process Variables from Industrial Network Traffic via Search-Based Optimization

Chuan Sheng, Shan Jiang, Jianming Zhao +1

Process variables (PVs) provide the process evidence needed for process-aware security monitoring in industrial cyber-physical systems (CPSs). However, existing supervisory infrast…

cs.SE2026

DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers

Aditya Pujara, Xiaogang Zhu, Hsiang-Ting Chen

The rapid development of LLMs coupled with the introduction of Model Context Protocol (MCP) has revolutionized how intelligent agents interact with APIs through deterministic and s…

cs.CR2026

From Storage to Steering: Memory Control Flow Attacks on LLM Agents

Zhenlin Xu, Xiaogang Zhu, Yu Yao +2

Modern agentic systems allow Large Language Model (LLM) agents to tackle complex tasks through extensive tool usage, forming structured control flows of tool selection and executio…

cs.CR2025

MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security

Yongjian Guo, Puzhuo Liu, Wanlun Ma +5

The Model Context Protocol (MCP) has emerged as a universal standard that enables AI agents to seamlessly connect with external tools, significantly enhancing their functionality.…

cs.SE2025

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models

Kunpeng Zhang, Shuai Wang, Jitao Han +4

Deep learning (DL) libraries, widely used in AI applications, often contain vulnerabilities like buffer overflows and use-after-free errors. Traditional fuzzing struggles with the…

cs.CV2024

SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization

Sicheng Liu, Lintao Wang, Xiaogang Zhu +3

Extreme Multimodal Summarization with Multimodal Output (XMSMO) becomes an attractive summarization approach by integrating various types of information to create extremely concise…