9 papers
Behavior-Centric Malware Classification with Fine-Grained Malicious Logic Localization
Prakriti Baral, Zhuoyun Qian, Hailu Xu +1
Effective malware analysis requires understanding not only whether a program is malicious, but also which behaviors it exhibits and where those behaviors originate in the code. Exi…
Semantic Validation of Packer Identification Tools: Characterization, Repair, and Downstream Impact
Fangtian Zhong, Zhuoyun Qian, Mengfei Ren +4
Packer identification tools are essential to malware analysis, yet their semantic correctness remains largely unverified. Incorrect packer labels can trigger inappropriate unpackin…
SwiftBot: A Decentralized Platform for LLM-Powered Federated Robotic Task Execution
YueMing Zhang, Shuai Xu, Zhengxiong Li +3
Federated robotic task execution systems require bridging natural language instructions to distributed robot control while efficiently managing computational resources across heter…
Feature-Oriented IoT Malware Analysis: Extraction, Classification, and Future Directions
Zhuoyun Qian, Hongyi Miao, Cheng Zhang +4
As IoT devices continue to proliferate, their reliability is increasingly constrained by security concerns. In response, researchers have developed diverse malware analysis techniq…
Feature-Centric Approaches to Android Malware Analysis: A Survey
Shama Maganur, Yili Jiang, Jiaqi Huang +1
Sophisticated malware families exploit the openness of the Android platform to infiltrate IoT networks, enabling large-scale disruption, data exfiltration, and denial-of-service at…
Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey
Zhuoyun Qian, Fangtian Zhong, Qin Hu +4
Modern software systems are developed in diverse programming languages and often harbor critical vulnerabilities that attackers can exploit to compromise security. These vulnerabil…
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems
Ziyang Wei, Yili Jiang, Jiaqi Huang +2
Semantic communication systems, which leverage Generative AI (GAI) to transmit semantic meaning rather than raw data, are poised to revolutionize modern communications. However, th…
Unveiling Malware Patterns: A Self-analysis Perspective
Fangtian Zhong, Qin Hu, Yili Jiang +2
The widespread usage of Microsoft Windows has unfortunately led to a surge in malware, posing a serious threat to the security and privacy of millions of users. In response, the re…
Upcycling Noise for Federated Unlearning
Jianan Chen, Qin Hu, Fangtian Zhong +2
In Federated Learning (FL), multiple clients collaboratively train a model without sharing raw data. This paradigm can be further enhanced by Differential Privacy (DP) to protect l…