Marc Vucovich

According to our database, Marc Vucovich authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

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

Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining.

Sam Pastoriza, Iman Yousfi, Christopher Redino, Marc Vucovich, Abdul Rahman, Sal Aguiñaga, Dhruv Nandakumar

Proceedings of the 13th International Symposium on Digital Forensics and Security, 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

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

FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks.

Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen

Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023

2022

Anomaly Detection via Federated Learning.

Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani

CoRR, 2022

Zero Day Threat Detection Using Metric Learning Autoencoders.

Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022