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)

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. - Anna Kawakami; Luke Guerdan; Yang Cheng; Anita Sun; Alison Hu; Kate Glazko; Nikos Aréchiga; Matthew L. Lee; Scott A. Carter; Haiyi Zhu; Kenneth Holstein (CoRR, 2022)

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)

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)

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)