114 citations · 129 across the 14 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware
Binbin Zhao, Shouling Ji, Jiacheng Xu +8
Currently, the development of IoT firmware heavily depends on third-party components (TPCs) to improve development efficiency. Nevertheless, TPCs are not secure, and the vulnerabil…
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…
Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation
Genqiang Wu, Yeping He, Jingzheng Wu +1
How to achieve differential privacy in the distributed setting, where the dataset is distributed among the distrustful parties, is an important problem. We consider in what conditi…