Publications, student achievements, research artifacts, and milestones from NEXUS Lab.
Congratulations to Sebastian Siedler and Mohamed Sylla on the acceptance of their paper, Security Risks in Wearable Mobile Applications, for publication in IEEE Internet Computing. The work investigates security risks in wearable mobile applications and contributes to NEXUS research on mobile software security.
NEXUS Lab is pleased to share that the International Workshop on Security Assurance for AI-Assisted Software Engineering (ASSURE-AI) has been accepted for SANER 2027. The workshop will bring together researchers and practitioners working on evidence-based security assurance, false assurance, secure AI-assisted development, and agentic software-engineering workflows.
SecAIDev provides an interactive workbench for examining security assurance in agent-authored pull requests, including security exposure, potential risk, mitigation evidence, review quality, and potential false assurance.
Congratulations to Mohamed Sylla on our ICSA 2026 paper with Karim Elish, which rethinks MVC violations as security-aware architectural smells in Android applications. The paper was also recognized as a Distinguished Paper Award Candidate.
Congratulations to the STALKER authors—Anastasiya Dmytryk, Sami El-Yaagoubi, Lucas Batista, Philipp Kouterguine, Samuel Gerken, Abdulaziz Alhamadani, and Karim Elish—on the paper. The work examines how composed quasi-identifiers and LLM-assisted inference can amplify behavioral leakage in anonymized marketplace data.
Congratulations to Dennis Carey and co-authors Karim Elish and Paniz Abedin on their ICST 2026 paper investigating whether large language models can faithfully reproduce Android application bugs from natural-language reports. The study introduces intent-aware evaluation through critical-step coverage.
Congratulations to Sebastian Siedler and Joyce Champie, together with their co-authors, on presenting two NEXUS datasets in the MSR 2026 Data and Tool Showcase. AndroMetric connects multi-dimensional software metrics with mobile application security, while SMELLDroid supports large-scale research on Android code smells and software quality.
Congratulations to Sebastian Siedler and co-author Karim Elish on the MIRROR paper and dataset. MIRROR provides structural metrics for original and repackaged Android applications to support research on repackaging, structural similarity, and software reuse.
Congratulations to Joyce Champie and co-author Karim Elish on their IEEE Access article. The review synthesizes the emerging literature on large language models for malware detection, develops a taxonomy of current approaches, and identifies open research challenges.