activity
20152023
most citedRoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation

45 citations · 185 across the 15 of their papers we have counts for

collaborators

37 papers

cs.CR2023★ 4 cited

Towards Automated Cyber Range Design: Characterizing and Matching Demands to Supplies

Ekzhin Ear, Jose L. C. Remy, Shouhuai Xu

Cyber ranges mimic real-world cyber environments and are in high demand. Before building their own cyber ranges, organizations need to deeply understand what construction supplies…

eess.SY2023

Analysis of Contagion Dynamics with Active Cyber Defenders

Keith Paarporn, Shouhuai Xu

In this paper, we analyze the infection spreading dynamics of malware in a population of cyber nodes (i.e., computers or devices). Unlike most prior studies where nodes are reactiv…

cs.CR2023★ 34 cited

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks

Deqiang Li, Shicheng Cui, Yun Li +3

Machine Learning (ML) techniques can facilitate the automation of malicious software (malware for short) detection, but suffer from evasion attacks. Many studies counter such attac…

cs.CR2022

Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study

Rosana Montañez Rodriguez, Adham Atyabi, Shouhuai

Social engineering attacks are phenomena that are equally applicable to both the physical world and cyberspace. These attacks in the physical world have been studied for a much lon…

cs.CR2022★ 45 cited

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation

Zhen Li, Guenevere, Chen +3

Source code authorship attribution is an important problem often encountered in applications such as software forensics, bug fixing, and software quality analysis. Recent studies s…

cs.CR2021★ 3 cited

Towards Making Deep Learning-based Vulnerability Detectors Robust

Zhen Li, Jing Tang, Deqing Zou +5

Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detector…