Towards Green Crowdsourced Social Delivery Networks: A Feasibility Study. - Kevin Choi; Luca Bedogni; Marco Levorato (GLOBECOM, 2020)

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 (ICMLA, 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)

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (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)

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; et al. (CoRR, 2022)

Enabling Green Crowdsourced Social Delivery Networks in Urban Communities. - Kevin Choi; Luca Bedogni; Marco Levorato (Sensors, 2022)

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 (ICMLC, 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 (ITNAC, 2023)

Thistle: A Vector Database in Rust. - Brad Windsor; Kevin Choi (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)

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. - Padmaksha Roy; Tyler Cody; Himanshu Singhal; Kevin Choi; Ming Jin 002 (CoRR, 2023)

Bicorn: An optimistically efficient distributed randomness beacon. - Kevin Choi; Arasu Arun; Nirvan Tyagi; Joseph Bonneau (IACR Cryptol. ePrint Arch., 2023)

SoK: Distributed Randomness Beacons. - Kevin Choi; Aathira Manoj; Joseph Bonneau (IACR Cryptol. ePrint Arch., 2023)

Cornucopia: Distributed randomness beacons at scale. - Miranda Christ; Kevin Choi; Joseph Bonneau (IACR Cryptol. ePrint Arch., 2023)

Cornucopia: Distributed Randomness at Scale. - Miranda Christ; Kevin Choi; Joseph Bonneau (AFT, 2024)

Accountable Secret Leader Election. - Miranda Christ; Kevin Choi; Walter McKelvie; Joseph Bonneau; Tal Malkin (AFT, 2024)

Data Composition for Continual Learning in Application of Cyberattack Detection. - Jiayi Lian; Xueying Liu; Kevin Choi; Balaji Veeramani; Sathvik Murli; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (ASONAM (4), 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 (CCWC, 2024)

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. - Soumya Banerjee 001; Sandip Roy 001; Sayyed Farid Ahamed; Devin Quinn; Marc Vucovich; Dhruv Nandakumar; Kevin Choi; Abdul Rahman; Edward Bowen; Sachin Shetty (ICNC, 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 (ICNC, 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 003 (ICML, 2024)

Continual learning and its industrial applications: A selective review. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Sathvik Murli; Laura J. Freeman; Edward Bowen; Xinwei Deng (WIREs Data. Mining. Knowl. Discov., 2024)

New Complex Sinusoidal Waveform-Based Zero-Knowledge Proof Systems for Efficient Anonymous Authentication. - Youhyun Kim; Ongee Jeong; Kevin Choi; Inkyu Moon; Bahram Javidi (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Privacy Drift: Evolving Privacy Concerns in Incremental Learning. - Sayyed Farid Ahamed; Soumya Banerjee 001; Sandip Roy 001; Aayush Kapoor; Marc Vucovich; Kevin Choi; Abdul Rahman; Edward Bowen; Sachin Shetty (ICNC, 2025)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. - Sayyed Farid Ahamed; Soumya Banerjee 001; Sandip Roy 001; Marc Vucovich; Devin Quinn; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (ICNC, 2025)

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. - Sayyed Farid Ahamed; Sandip Roy 001; Soumya Banerjee 001; Marc Vucovich; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (IWCMC, 2025)

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. - Amit Chakraborty; Sayyed Farid Ahamed; Sandip Roy 001; Soumya Banerjee 001; Kevin Choi; Abdul Rahman; Alison Hu; Edward Bowen; Sachin Shetty (IWCMC, 2025)