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20212026
most citedA Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild

1 citations · 1 across the 9 of their papers we have counts for

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cs.CR2026

Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis

Zhiyuan Li, Jingzheng Wu, Xiang Ling +2

Agent Skills is an emerging open standard that defines a modular, filesystem-based packaging format enabling LLM-based agents to acquire domain-specific expertise on demand. Despit…

cs.CR2026

SimFuzz: Similarity-guided Block-level Mutation for RISC-V Processor Fuzzing

Hao Lyu, Jingzheng Wu, Xiang Ling +3

The Instruction Set Architecture (ISA) defines processor operations and serves as the interface between hardware and software. As an open ISA, RISC-V lowers the barriers to process…

cs.CR2025

Version-level Third-Party Library Detection in Android Applications via Class Structural Similarity

Bolin Zhou, Jingzheng Wu, Xiang Ling +2

Android applications (apps) integrate reusable and well-tested third-party libraries (TPLs) to enhance functionality and shorten development cycles. However, recent research reveal…

cs.CR2024★ 1 cited

A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild

Xiang Ling, Zhiyu Wu, Bin Wang +5

Given the remarkable achievements of existing learning-based malware detection in both academia and industry, this paper presents MalGuise, a practical black-box adversarial attack…

cs.CR2021

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Xiang Ling, Lingfei Wu, Jiangyu Zhang +9

Malware has been one of the most damaging threats to computers that span across multiple operating systems and various file formats. To defend against ever-increasing and ever-evol…