Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations S Rebai, A Amich, S Molaei, M Kessentini, R Kazman Automated Software Engineering 27 (3), 301-328, 2020 | 23 | 2020 |
Morphence: Moving target defense against adversarial examples A Amich, B Eshete Proceedings of the 37th Annual Computer Security Applications Conference, 61-75, 2021 | 20 | 2021 |
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks A Amich, B Eshete arXiv preprint arXiv:2106.15820, 2021 | 11 | 2021 |
EG-Booster: explanation-guided booster of ML evasion attacks A Amich, B Eshete Proceedings of the Twelfth ACM Conference on Data and Application Security …, 2022 | 5 | 2022 |
Rethinking machine learning robustness via its link with the out-of-distribution problem A Amich, B Eshete arXiv preprint arXiv:2202.08944, 2022 | 4 | 2022 |
{DeResistor}: Toward {Detection-Resistant} Probing for Evasion of Internet Censorship A Amich, B Eshete, V Yegneswaran, NP Hoang 32nd USENIX Security Symposium (USENIX Security 23), 2617-2633, 2023 | 2 | 2023 |
Adversarial detection of censorship measurements A Amich, B Eshete, V Yegneswaran Proceedings of the 21st Workshop on Privacy in the Electronic Society, 139-143, 2022 | 1 | 2022 |
Out2In: Towards Machine Learning Models Resilient to Adversarial and Natural Distribution Shifts A Amich, B Eshete Authorea Preprints, 2023 | | 2023 |
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection A Amich, A Kaboudi, B Eshete arXiv preprint arXiv:2206.07321, 2022 | | 2022 |