Enhancing federated learning robustness through randomization and mixture S Nabavirazavi, R Taheri, SS Iyengar Future Generation Computer Systems 158, 28-43, 2024 | 11 | 2024 |
Impact of aggregation function randomization against model poisoning in federated learning S Nabavirazavi, R Taheri, M Shojafar, SS Iyengar 22nd IEEE international conference on trust, security and privacy in …, 2024 | 4 | 2024 |
Model poisoning attack against federated learning with adaptive aggregation S Nabavirazavi, R Taheri, M Ghahremani, SS Iyengar Adversarial Multimedia Forensics, 1-27, 2023 | 4 | 2023 |
Do We Really Need to Design New Byzantine-robust Aggregation Rules? M Fang, S Nabavirazavi, Z Liu, W Sun, SS Iyengar, H Yang arXiv preprint arXiv:2501.17381, 2025 | 3 | 2025 |
Advancing Forensic Science: AI and Knowledge Graphs Unlock New Insights SS Iyengar, S Nabavirazavi, H Rathore, Y Hariprasad, NK Chaudhary Journal of Forensic Research 15 (3), 7, 2024 | 1 | 2024 |
Evaluating the Universality of “Do Anything Now” Jailbreak Prompts on Large Language Models: Content Warning: This paper contains unfiltered and harmful examples. S Nabavirazavi, S Zad, SS Iyengar 2025 IEEE 15th Annual Computing and Communication Workshop and Conference …, 2025 | | 2025 |
Privacy and Security Challenges in Large Language Models V Rathod, S Nabavirazavi, S Zad, SS Iyengar 2025 IEEE 15th Annual Computing and Communication Workshop and Conference …, 2025 | | 2025 |
Lightweight Malicious Packet Classifier for IoT Networks S Nabavirazavi, SS Iyengar, NK Chaudhary International Conference on Information Security, Privacy and Digital …, 2022 | | 2022 |
LAKEE: A Lightweight Authenticated Key Exchange Protocol for Power Constrained Devices S Nabavirazavi, SS Iyengar arXiv preprint arXiv:2210.16367, 2022 | | 2022 |
FAST: Federated Average with Snapshot Unleashes Arbitrary Client Participation Z Li, S Nabavirazavi, B Ying, S Iyengar, H Yang | | |