Alison Hu

According to our database, Alison Hu authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks.

Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning.

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

Proceedings of the International Wireless Communications and Mobile Computing, 2025

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

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

Proceedings of the International Conference on Computing, Networking and Communications, 2025

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

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

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

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

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

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