Sayyed Farid Ahamed

According to our database, Sayyed Farid Ahamed authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks.

Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning.

Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Wireless Communications and Mobile Computing, 2025

OT3L: Optimal Transport-based Targeted Transfer Learning for Efficient Domain Adaptation.

Sayyed Farid Ahamed, Amit Chakraborty, Sandip Roy, Bikash Chandra Singh, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning.

Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Marc Vucovich, Devin Quinn, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2025

Privacy Drift: Evolving Privacy Concerns in Incremental Learning.

Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2025

A Unified Blockchain-based Framework for Decentralized Collaborative Transfer Learning using Adaptive Incentivization.

Amit Chakraborty, Sandip Roy, Sayyed Farid Ahamed, Eranga Bandara, Bikash Chandra Singh, Sachin Shetty

Proceedings of the IEEE International Conference on Communications, 2025

2024

Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer.

Sayyed Farid Ahamed, Kazi Aminul Islam, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2024

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning.

Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2024

2021

Selective Targeted Transfer Learning for Malware Classification.

Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman

Proceedings of the 3rd IEEE International Conference on Trust, 2021

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks.

Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman

Proceedings of the IEEE Global Communications Conference, 2021

2019

A Novel PUF Architecture Against Non-Invasive Attacks.

Yiming Wen, Sayyed Farid Ahamed, Weize Yu

Proceedings of the 21st ACM/IEEE International Workshop on System Level Interconnect Prediction, 2019