A framework for empirical evaluation of malware detection resilience against behavior obfuscation. - Sebastian Banescu; Tobias Wüchner; Aleieldin Salem; Marius Guggenmos; Martín Ochoa; Alexander Pretschner (MALWARE, 2015)

Metadata recovery from obfuscated programs using machine learning. - Aleieldin Salem; Sebastian Banescu (SSPREW@ACSAC, 2016)

Idea: Automatic Localization of Malicious Behaviors in Android Malware with Hidden Markov Models. - Aleieldin Salem; Tabea Schmidt; Alexander Pretschner (ESSoS, 2018)

Poking the bear: lessons learned from probing three Android malware datasets. - Aleieldin Salem; Alexander Pretschner (A-Mobile@ASE, 2018)

Repackman: a tool for automatic repackaging of Android apps. - Aleieldin Salem; F. Franziska Paulus; Alexander Pretschner (A-Mobile@ASE, 2018)

GoldRusher: A miner for rapid identification of hidden code. - Aleieldin Salem (SANER, 2018)

Stimulation and Detection of Android Repackaged Malware with Active Learning. - Aleieldin Salem (CoRR, 2018)

Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods. - Aleieldin Salem; Sebastian Banescu; Alexander Pretschner (CoRR, 2019)

Towards Accurate Labeling of Android Apps for Reliable Malware Detection. - Aleieldin Salem (CODASPY, 2021)

Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. - Aleieldin Salem; Sebastian Banescu; Alexander Pretschner (ACM Trans. Priv. Secur., 2021)

Accurate and Reliable Labeling for Effective Detection of Android Malware. - Aleieldin Salem (2021)