Marc Vucovich - RankMe

16 papers B 1C 1Misc 4Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
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`	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	—	`conf`	Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining. ISDFS Sam Pastoriza, Iman Yousfi, Christopher Redino, Marc Vucovich, Abdul Rahman, Sal Aguiñaga, Dhruv Nandakumar
2025	J	`jnl`	Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining. CoRR Sam Pastoriza, Iman Yousfi, Christopher Redino, Marc Vucovich, Abdul Rahman, Sal Aguiñaga, Dhruv Nandakumar
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	—	`conf`	FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CCWC Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
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
2023	Misc	`conf`	Anomaly Detection via Federated Learning. ITNAC 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
2023	J	`jnl`	FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CoRR Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
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
2022	J	`jnl`	Anomaly Detection via Federated Learning. CoRR 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
2022	C	`conf`	Zero Day Threat Detection Using Metric Learning Autoencoders. ICMLA Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha
2022	J	`jnl`	Zero Day Threat Detection Using Metric Learning Autoencoders. CoRR Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha