Devin Quinn

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Euclidean Space

Bayesian Inference

Learning Problems

Top Venues

Publications

Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. ICNC (2024)
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 (2024)
Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CCWC (2024)
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)
Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CoRR (2023)
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 (2023)
Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. CoRR (2023)