| Poster: A reliable and accountable privacy-preserving federated learning framework using the blockchain S Awan, F Li, B Luo, M Liu Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 126 | 2019 |
| CONTRA: Defending Against Poisoning Attacks in Federated Learning S Awan, B Luo, F Li Computer Security–ESORICS 2021: 26th European Symposium on Research in …, 2021 | 98 | 2021 |
| Security through obscurity: Integrated circuit obfuscation using don't care conditions SM Awan, S Rashid, M Gao, G Qu 2016 International Conference on Control, Automation and Information …, 2016 | 5 | 2016 |
| Two souls in an adversarial image: Towards universal adversarial example detection using multi-view inconsistency S Kiani, S Awan, C Lan, F Li, B Luo Proceedings of the 37th Annual Computer Security Applications Conference, 31-44, 2021 | 4 | 2021 |
| Functional obfuscation of digital circuits using observability don't care conditions SM Awan, S Rashid, M Gao, G Qu 2016 IEEE International Conference on Information and Automation for …, 2016 | 4 | 2016 |
| WOLF: automated machine learning workflow management framework for malware detection and other applications S Kiani, S Awan, J Huan, F Li, B Luo Proceedings of the 7th Symposium on Hot Topics in the Science of Security, 1-8, 2020 | 2 | 2020 |
| E-POSTER Z Alam, PK Dalal, SK Kar Indian Journal of Psychiatry 61 (Suppl 3), S521-S631, 2019 | 2 | 2019 |
| Security through obscurity: Layout obfuscation of digital integrated circuits using don't care conditions SM Awan University of Maryland, College Park, 2015 | 1 | 2015 |
Fengjun LiUniversity of KansasΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ku.edu
