Kevin Choi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Selecting A Small Number

Intrusion Detection

Invariant Representation

Metric Learning

Top Venues

IACR Cryptol. ePrint Arch.

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)
Miranda Christ, Kevin Choi, Joseph Bonneau
Cornucopia: Distributed randomness beacons at scale. IACR Cryptol. ePrint Arch. 2023 (2023)
Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen
A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention. CoRR (2023)
Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen
A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention. ICMLC (2023)
Brad Windsor, Kevin Choi
Thistle: A Vector Database in Rust. CoRR (2023)
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)
Kevin Choi, Aathira Manoj, Joseph Bonneau
SoK: Distributed Randomness Beacons. IACR Cryptol. ePrint Arch. 2023 (2023)
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR (2023)
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
Anomaly Detection via Federated Learning. ITNAC (2023)
Kevin Choi, Aathira Manoj, Joseph Bonneau
SoK: Distributed Randomness Beacons. SP (2023)
Kevin Choi, Arasu Arun, Nirvan Tyagi, Joseph Bonneau
Bicorn: An optimistically efficient distributed randomness beacon. IACR Cryptol. ePrint Arch. 2023 (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)
Kevin Choi, Arasu Arun, Nirvan Tyagi, Joseph Bonneau
Bicorn: An Optimistically Efficient Distributed Randomness Beacon. FC (1) (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)
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
Lateral Movement Detection Using User Behavioral Analysis. CoRR (2022)
Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha
Zero Day Threat Detection Using Metric Learning Autoencoders. ICMLA (2022)
Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha
Zero Day Threat Detection Using Metric Learning Autoencoders. CoRR (2022)
Christopher Redino, Dhruv Nandakumar, Robert Schiller, Kevin Choi, Abdul Rahman, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry. CoRR (2022)
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
Anomaly Detection via Federated Learning. CoRR (2022)
Kevin Choi, Luca Bedogni, Marco Levorato
Enabling Green Crowdsourced Social Delivery Networks in Urban Communities. Sensors 22 (4) (2022)
Kevin Choi, Luca Bedogni, Marco Levorato
Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study. GLOBECOM (2020)
Rianna M. Jitosho, Kevin Choi, Adam Foris, Anirban Mazumdar
Exploiting Bistability for High Force Density Reflexive Gripping. ICRA (2019)