Kevin Choi

According to our database, Kevin Choi authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning.

Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Devin Quinn, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

CoRR, 2024

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.

Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the International Conference on Computing, Networking and Communications, 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

Accountable Secret Leader Election.

Miranda Christ, Kevin Choi, Walter McKelvie, Joseph Bonneau, Tal Malkin

Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

Cornucopia: Distributed Randomness at Scale.

Miranda Christ, Kevin Choi, Joseph Bonneau

Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

2023

Cornucopia: Distributed randomness beacons at scale.

Miranda Christ, Kevin Choi, Joseph Bonneau

IACR Cryptol. ePrint Arch., 2023

SoK: Distributed Randomness Beacons.

Kevin Choi, Aathira Manoj, Joseph Bonneau

IACR Cryptol. ePrint Arch., 2023

Bicorn: An optimistically efficient distributed randomness beacon.

Kevin Choi, Arasu Arun, Nirvan Tyagi, Joseph Bonneau

IACR Cryptol. ePrint Arch., 2023

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space.

Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin

CoRR, 2023

A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

CoRR, 2023

Thistle: A Vector Database in Rust.

Brad Windsor, Kevin Choi

CoRR, 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

A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Enabling Green Crowdsourced Social Delivery Networks in Urban Communities.

Kevin Choi, Luca Bedogni, Marco Levorato

Sensors, 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

Lateral Movement Detection Using User Behavioral Analysis.

Deepak Kushwaha, Dhruv Nandakumar, Akshay Kakkar, Sanvi Gupta, Kevin Choi, Christopher Redino, Abdul Rahman, Sabthagiri Saravanan Chandramohan, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila

CoRR, 2022

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.

J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, L. Freeman, Edward Bowen, X. Deng

CoRR, 2022

Zero Day Threat Detection Using Graph and Flow Based Security Telemetry.

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

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

2020

Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study.

Kevin Choi, Luca Bedogni, Marco Levorato

Proceedings of the IEEE Global Communications Conference, 2020

2019

Exploiting Bistability for High Force Density Reflexive Gripping.

Rianna M. Jitosho, Kevin Choi, Adam Foris, Anirban Mazumdar

Proceedings of the International Conference on Robotics and Automation, 2019