Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations. - Soumaya Rebai; Abderrahmen Amich; Somayeh Molaei; Marouane Kessentini; Rick Kazman (Autom. Softw. Eng., 2020)

Morphence: Moving Target Defense Against Adversarial Examples. - Abderrahmen Amich; Birhanu Eshete (ACSAC, 2021)

Explanation-Guided Diagnosis of Machine Learning Evasion Attacks. - Abderrahmen Amich; Birhanu Eshete (SecureComm (1), 2021)

EG-Booster: Explanation-Guided Booster of ML Evasion Attacks. - Abderrahmen Amich; Birhanu Eshete (CODASPY, 2022)

Adversarial Detection of Censorship Measurements. - Abderrahmen Amich; Birhanu Eshete; Vinod Yegneswaran (WPES@CCS, 2022)

Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem. - Abderrahmen Amich; Birhanu Eshete (CoRR, 2022)

Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection. - Abderrahmen Amich; Ata Kaboudi; Birhanu Eshete (CoRR, 2022)

DeResistor: Toward Detection-Resistant Probing for Evasion of Internet Censorship. - Abderrahmen Amich; Birhanu Eshete; Vinod Yegneswaran; Nguyen Phong Hoang (USENIX Security Symposium, 2023)