2021 Noah Mauthe, Ulf Kargén, Nahid Shahmehri (2021) A Large-Scale Empirical Study of Android App Decompilation 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering , s. 400-410 Vidare till DOI 2020 Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2020) Comment on "AndrODet: An adaptive Android obfuscation detector" 2019 Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2019) Robust Detection of Obfuscated Strings in Android Apps Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security , s. 25-35 Vidare till DOI Ulf Kargén, Nahid Shahmehri (2019) Speeding Up Bug Finding using Focused Fuzzing Proceedings of the 13th International Conference on Availability, Reliability and Security Vidare till DOI 2017 Ulf Kargén, Nahid Shahmehri (2017) Towards Robust Instruction-Level Trace Alignment of Binary Code PROCEEDINGS OF THE 2017 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE17) , s. 342-352 Vidare till DOI
Noah Mauthe, Ulf Kargén, Nahid Shahmehri (2021) A Large-Scale Empirical Study of Android App Decompilation 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering , s. 400-410 Vidare till DOI
Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2020) Comment on "AndrODet: An adaptive Android obfuscation detector"
Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2019) Robust Detection of Obfuscated Strings in Android Apps Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security , s. 25-35 Vidare till DOI
Ulf Kargén, Nahid Shahmehri (2019) Speeding Up Bug Finding using Focused Fuzzing Proceedings of the 13th International Conference on Availability, Reliability and Security Vidare till DOI
Ulf Kargén, Nahid Shahmehri (2017) Towards Robust Instruction-Level Trace Alignment of Binary Code PROCEEDINGS OF THE 2017 32ND IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE17) , s. 342-352 Vidare till DOI
2021 Noah Mauthe, Ulf Kargén, Nahid Shahmehri (2021) A Large-Scale Empirical Study of Android App Decompilation 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering , s. 400-410 Vidare till DOI 2020 Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2020) Comment on "AndrODet: An adaptive Android obfuscation detector" 2019 Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2019) Robust Detection of Obfuscated Strings in Android Apps Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security , s. 25-35 Vidare till DOI
Noah Mauthe, Ulf Kargén, Nahid Shahmehri (2021) A Large-Scale Empirical Study of Android App Decompilation 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering , s. 400-410 Vidare till DOI
Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2020) Comment on "AndrODet: An adaptive Android obfuscation detector"
Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri (2019) Robust Detection of Obfuscated Strings in Android Apps Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security , s. 25-35 Vidare till DOI
Databas- och Informationsteknik (ADIT) Avdelningen ADIT vid Institutionen för datavetenskap bedriver forskning inriktad mot principer, metoder och verktyg för definition och konstruktion av avancerade databas- och informationssystem för dagens och framtidens informationssamhälle.
Institutionen för datavetenskap (IDA) Institutionen för datavetenskap är en av de största datavetenskapliga institutionerna i norra Europa med forskningsverksamhet inom artificiell intelligens, människa-datorinteraktion, programvaruteknik och datorsystem, och data science.