Sayyed Farid Ahamed

17 papers B 3Misc 6Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Unified Blockchain-based Framework for Decentralized Collaborative Transfer Learning using Adaptive Incentivization. ICC Amit Chakraborty, Sandip Roy, Sayyed Farid Ahamed, Eranga Bandara, Bikash Chandra Singh, Sachin Shetty
2025	Misc	`conf`	Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. ICNC Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Marc Vucovich, Devin Quinn, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	B	`conf`	Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. IWCMC Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. CoRR Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	Misc	`conf`	Multi-Metric Detection and Mitigation of Label-Flipping Attacks in Federated Learning Using Conditional Variational Autoencoders. SoftCOM Sai Sriram Gonthina, Sandip Roy, Sayyed Farid Ahamed, Pronaya Bhattacharya, Sachin Shetty
2025	Misc	`conf`	OT3L: Optimal Transport-based Targeted Transfer Learning for Efficient Domain Adaptation. ICNC Sayyed Farid Ahamed, Amit Chakraborty, Sandip Roy, Bikash Chandra Singh, Sachin Shetty
2025	Misc	`conf`	Privacy Drift: Evolving Privacy Concerns in Incremental Learning. ICNC Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2025	B	`conf`	RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. IWCMC Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2025	J	`jnl`	RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. CoRR Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2024	J	`jnl`	Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. CoRR Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Devin Quinn, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
2024	Misc	`conf`	MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. ICNC Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2024	J	`jnl`	Privacy Drift: Evolving Privacy Concerns in Incremental Learning. CoRR Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2024	Misc	`conf`	Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer. ICNC Sayyed Farid Ahamed, Kazi Aminul Islam, Sachin Shetty
2023	J	`jnl`	MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. CoRR Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
2021	B	`conf`	ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks. GLOBECOM Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman
2021	—	`conf`	Selective Targeted Transfer Learning for Malware Classification. TPS-ISA Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman
2019	—	`conf`	A Novel PUF Architecture Against Non-Invasive Attacks. SLIP Yiming Wen, Sayyed Farid Ahamed, Weize Yu