Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach. - Avery Ma; Alexander Wong; David A. Clausi (ICIAR, 2017)

Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns. - Avery Ma; Alexander Wong; David A. Clausi (CRV, 2018)

Adversarial Robustness through Regularization: A Second-Order Approach. - Avery Ma; Fartash Faghri; Amir-massoud Farahmand (CoRR, 2020)

Improving Hierarchical Adversarial Robustness of Deep Neural Networks. - Avery Ma; Aladin Virmaux; Kevin Scaman; Juwei Lu (CoRR, 2021)

SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Avery Ma; Nikita Dvornik; Ran Zhang; Leila Pishdad; Konstantinos G. Derpanis; Afsaneh Fazly (BMVC, 2022)

Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. - Avery Ma; Yangchen Pan; Amir-massoud Farahmand (Trans. Mach. Learn. Res., 2023)

Improving Adversarial Transferability via Model Alignment. - Avery Ma; Amir-massoud Farahmand; Yangchen Pan; Philip Torr 001; Jindong Gu (ECCV (62), 2024)

A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. - Jindong Gu; Xiaojun Jia; Pau de Jorge; Wenqian Yu; Xinwei Liu; Avery Ma; Yuan Xun; Anjun Hu; Ashkan Khakzar; Zhijiang Li; Xiaochun Cao; Philip Torr 001 (Trans. Mach. Learn. Res., 2024)

PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling. - Avery Ma; Yangchen Pan; Amir-massoud Farahmand (CoRR, 2025)