Publications

For a full list of publications check Google Scholar and DBLP.

Papers Under Review

• Benchmarking Large Language Models for patching artificial software vulnerabilities Submitted to a peer-reviewed software engineering conference (Under double-blind review, title changed)

• “Payload Analysis of Adversaries’ Tooling: Automated Identification of Fuzzers.” Aayush Garg, Constantinos Patsakis, Zanis Ali Khan, Qiang Tang. (Under Review) preprint Github

• “Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching.” Zanis Ali Khan, Aayush Garg, Yuejun Guo, Qiang Tang. (Under Review) preprint

• “Vulnerability Mimicking Mutants.” Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. (Under Review) preprint GitHub

• “Learning to predict vulnerabilities from vulnerability-fixes: A machine translation approach.” Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, and Yves Le Traon. (Under Review) preprint

Selected Conference Papers

• “A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair.” Zanis Ali Khan, Aayush Garg, and Qiang Tang. International Workshop on Artificial Intelligence, Cyber and Cyber-Physical Security (AI&CCPS) ARES, 2025 Preprint

• “On the Coupling between Vulnerabilities and LLM-generated Mutants: A Study on Vul4J dataset.” Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. IEEE International Conference on Software Testing, Verification and Validation (ICST), 2024 link PDF Github

• “Enabling Efficient Assertion Inference.” Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, and Yves Le Traon. IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023 link PDF Github

• “On Comparing Mutation Testing Tools through Learning-based Mutant Selection.” Milos Ojdanic, Ahmed Khanfir, Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. ACM/IEEE International Conference on Automation of Software Test (AST), 2023 link PDF Github

Selected Journal Papers

• “AI-Driven Software Security: Vulnerability Detection, Patching, and Anti-Fuzzing.” Aayush Garg, Yuejun Guo, Qiang Tang. The 139th European Research Consortium for Informatics and Mathematics (ERCIM) News, Special Theme: Software Security, 2024 link

• “Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies.” Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon. IEEE Transactions on Software Engineering Journal (TSE), 2023 link Github

• “Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data.” Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, and Yves Le Traon. Empirical Software Engineering (EMSE), 2022 link Github

• “Cerebro: Static subsuming mutant selection.” Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis and Yves Le Traon. IEEE Transactions on Software Engineering (TSE), 2021 link Github

Thesis

• “Guiding Quality Assurance Through Context Aware Learning.” Aayush Garg. PhD Dissertation (2023), University of Luxembourg. link