| Deep learning for encrypted traffic classification in the face of data drift: An empirical study N Malekghaini, E Akbari, MA Salahuddin, N Limam, R Boutaba, ... Computer Networks 225, 109648, 2023 | 10 | 2023 |
| Deep inside tor: Exploring website fingerprinting attacks on tor traffic in realistic settings A Khajehpour, F Zandi, N Malekghaini, M Hemmatyar, N Omidvar, ... 2022 12th International Conference on Computer and Knowledge Engineering …, 2022 | 8 | 2022 |
| Data drift in dl: Lessons learned from encrypted traffic classification N Malekghaini, E Akbari, MA Salahuddin, N Limam, R Boutaba, ... 2022 IFIP Networking Conference (IFIP Networking), 1-9, 2022 | 8 | 2022 |
| AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification N Malekghaini, E Akbari, MA Salahuddin, N Limam, R Boutaba, ... IEEE Transactions on Network and Service Management (TNSM), 2023 | 2 | 2023 |
| Adapting to data drift in encrypted traffic classification using deep learning N Malekghaini University of Waterloo, 2023 | 2 | 2023 |
| A First Look at Generating Website Fingerprinting Attacks via Neural Architecture Search P Singh, S Arun Naik, N Malekghaini, D Barradas, N Limam ACM Conference on Computer and Communications Security (CCS) 2023 - Workshop …, 2023 | 1 | 2023 |
| Fstc: Dynamic category adaptation for encrypted network traffic classification N Malekghaini, H Tsang, MA Salahuddin, N Limam, R Boutaba 2023 IFIP Networking Conference (IFIP Networking), 1-9, 2023 | 1 | 2023 |
| A Critical Study of Few-Shot Learning for Encrypted Traffic Classification E Akbari, SA Tahmid, N Malekghaini, MA Salahuddin, N Limam, ... 2023 19th International Conference on Network and Service Management (CNSM), 1-9, 2023 | | 2023 |
Noura LimamUniversity of WaterlooVerified email at uwaterloo.ca
