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Sayyed Farid Ahamed
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2020 – today
- 2024
- [c5]Sayyed Farid Ahamed, Kazi Aminul Islam
, Sachin Shetty:
Targeted Transfer Learning: Leveraging Optimal Transport for Enhanced Knowledge Transfer. ICNC 2024: 506-510 - [c4]Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. ICNC 2024: 635-640 - [i2]Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Devin Quinn, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. CoRR abs/2407.19119 (2024) - 2023
- [i1]Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. CoRR abs/2312.00051 (2023) - 2021
- [c3]Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty
ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks. GLOBECOM 2021: 1-7 - [c2]Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman:
Selective Targeted Transfer Learning for Malware Classification. TPS-ISA 2021: 114-120
2010 – 2019
- 2019
- [c1]Yiming Wen, Sayyed Farid Ahamed, Weize Yu:
A Novel PUF Architecture Against Non-Invasive Attacks. SLIP 2019: 1-5
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last updated on 2024-08-25 20:09 CEST by the dblp team
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