Unsupervised Cross-Protocol Anomaly Analysis in Mobile Core Networks via Multi-Embedding Models Consensus.

Aayush Garg

Aayush Garg Orlando Amaral Cejas Unsupervised Cross-Protocol Anomaly Analysis in Mobile Core Networks via Multi-Embedding Models Consensus. 2026 March abs/2603.15344 CoRR https://doi.org/10.48550/arXiv.2603.15344 db/journals/corr/corr2603.html#abs-2603-15344 streams/journals/corr

Zanis Ali Khan Aayush Garg Qiang Tang 0001 A Multi-dataset Evaluation of Models for Automated Vulnerability Repair. 73-87 2025 ARES (Workshops 1) https://doi.org/10.1007/978-3-032-00630-1_5 conf/IEEEares/2025-w1 db/conf/IEEEares/ares2025w1.html#KhanGT25 streams/conf/IEEEares

Zanis Ali Khan Aayush Garg Yuejun Guo 0001 Qiang Tang 0001 Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching. 2025 January abs/2501.07339 CoRR https://doi.org/10.48550/arXiv.2501.07339 db/journals/corr/corr2501.html#abs-2501-07339 streams/journals/corr

Zanis Ali Khan Aayush Garg Qiang Tang 0001 A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair. 2025 June abs/2506.04987 CoRR https://doi.org/10.48550/arXiv.2506.04987 db/journals/corr/corr2506.html#abs-2506-04987 streams/journals/corr

Aayush Garg Zanis Ali Khan Renzo Degiovanni Qiang Tang 0001 Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities. 2025 November abs/2511.23408 CoRR https://doi.org/10.48550/arXiv.2511.23408 db/journals/corr/corr2511.html#abs-2511-23408 streams/journals/corr

Aayush Garg Renzo Degiovanni Mike Papadakis Yves Le Traon On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. 305-316 2024 ICST https://doi.org/10.1109/ICST60714.2024.00035 conf/icst/2024 db/conf/icst/icst2024.html#GargDPT24 streams/conf/icst

Aayush Garg Yuejun Guo 0001 Qiang Tang 0001 AI-Driven Software Security: Vulnerability Detection, Patching, and Anti-Fuzzing. 2024 2024 ERCIM News 139 https://ercim-news.ercim.eu/en139/special/ai-driven-software-security-vulnerability-detection-patching-and-anti-fuzzing db/journals/ercim/ercim2024.html#Garg0024

Aayush Garg Guiding Quality Assurance Through Context Aware Learning. 2023 University of Luxembourg, Luxembourg City, Luxembourg http://orbilu.uni.lu/handle/10993/55042 https://www.base-search.net/Record/9710a46b2ad6a92ec7f295165c2483192fbc8ade07b5bba0e2500fcd66d243b1 base-search.net (ftunivluxembourg:oai:orbilu.uni.lu:10993/55042)

Aayush Garg Milos Ojdanic Renzo Degiovanni Thierry Titcheu Chekam Mike Papadakis Yves Le Traon Cerebro: Static Subsuming Mutant Selection. 24-43 2023 49 IEEE Trans. Software Eng. 1 https://doi.org/10.1109/TSE.2022.3140510 db/journals/tse/tse49.html#GargODCPT23

Milos Ojdanic Aayush Garg Ahmed Khanfir Renzo Degiovanni Mike Papadakis Yves Le Traon Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies. 3922-3938 2023 July 49 IEEE Trans. Software Eng. 7 https://doi.org/10.1109/TSE.2023.3277564 db/journals/tse/tse49.html#OjdanicGKDPT23

Milos Ojdanic Ahmed Khanfir Aayush Garg Renzo Degiovanni Mike Papadakis Yves Le Traon On Comparing Mutation Testing Tools through Learning-based Mutant Selection. 35-46 2023 AST https://doi.org/10.1109/AST58925.2023.00008 conf/ast/2023 db/conf/ast/ast2023.html#OjdanicKGDPT23 Aayush Garg Renzo Degiovanni Facundo Molina Maxime Cordy Nazareno Aguirre Mike Papadakis Yves Le Traon Enabling Efficient Assertion Inference. 623-634 2023 ISSRE https://doi.org/10.1109/ISSRE59848.2023.00039 conf/issre/2023 db/conf/issre/issre2023.html#GargDMCAPT23

Aayush Garg Renzo Degiovanni Facundo Molina Mike Papadakis Nazareno Aguirre Maxime Cordy Yves Le Traon Assertion Inferring Mutants. 2023 abs/2301.12284 CoRR https://doi.org/10.48550/arXiv.2301.12284 db/journals/corr/corr2301.html#abs-2301-12284

Aayush Garg Renzo Degiovanni Mike Papadakis Yves Le Traon Vulnerability Mimicking Mutants. 2023 abs/2303.04247 CoRR https://doi.org/10.48550/arXiv.2303.04247 db/journals/corr/corr2303.html#abs-2303-04247

Aayush Garg Renzo Degiovanni Matthieu Jimenez Maxime Cordy Mike Papadakis Yves Le Traon Learning from what we know: How to perform vulnerability prediction using noisy historical data. 169 2022 27 Empir. Softw. Eng. 7 https://doi.org/10.1007/s10664-022-10197-4 https://www.wikidata.org/entity/Q122999378 db/journals/ese/ese27.html#GargDJCPT22

Aayush Garg Milos Ojdanic Renzo Degiovanni Thierry Titcheu Chekam Mike Papadakis Yves Le Traon Cerebro: Static Subsuming Mutant Selection. 2021 abs/2112.14151 CoRR https://arxiv.org/abs/2112.14151 db/journals/corr/corr2112.html#abs-2112-14151

Milos Ojdanic Aayush Garg Ahmed Khanfir Renzo Degiovanni Mike Papadakis Yves Le Traon Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. 2021 abs/2112.14508 CoRR https://arxiv.org/abs/2112.14508 db/journals/corr/corr2112.html#abs-2112-14508

Aayush Garg Renzo Degiovanni Matthieu Jimenez Maxime Cordy Mike Papadakis Yves Le Traon Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach. 2020 abs/2012.11701 CoRR https://arxiv.org/abs/2012.11701 db/journals/corr/corr2012.html#abs-2012-11701

Aayush Garg Thilo Will William Darling Willi Richert Clemens Marschner Scalable Object Detection for Stylized Objects. 2017 abs/1711.09822 CoRR http://arxiv.org/abs/1711.09822 db/journals/corr/corr1711.html#abs-1711-09822

Peter M. Fischer 0001 Aayush Garg Kyumars Sheykh Esmaili Extending XQuery with a Pattern Matching Facility. 48-57 2010 XSym https://doi.org/10.1007/978-3-642-15684-7_5 conf/xsym/2010 db/conf/xsym/xsym2010.html#FischerGE10 Nazareno Aguirre Orlando AmaralOrlando Amaral Cejas Thierry Titcheu Chekam Maxime Cordy William Darling Renzo Degiovanni Kyumars Sheykh Esmaili Peter M. Fischer 0001 Yuejun Guo 0001 Matthieu Jimenez Zanis Ali Khan Ahmed Khanfir Clemens Marschner Facundo Molina Milos Ojdanic Mike Papadakis Willi Richert Qiang Tang 0001 Yves Le Traon Thilo Will