Devin Quinn

According to our database, Devin Quinn authored at least 3 papers between 2023 and 2024.

Collaborative distances:

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

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

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

CoRR, 2023

Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks.

Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen

CoRR, 2023