Avery Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Depth From Defocus

Stochastic Gradient Descent

Top Venues

Trans. Mach. Learn. Res.

Publications

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
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. CoRR (2023)
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR (2023)
Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
Improving Adversarial Transferability via Model Alignment. CoRR (2023)
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. Trans. Mach. Learn. Res. 2023 (2023)
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. CoRR (2022)
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. BMVC (2022)
Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu
Improving Hierarchical Adversarial Robustness of Deep Neural Networks. CoRR (2021)
Avery Ma, Fartash Faghri, Amir-massoud Farahmand
Adversarial Robustness through Regularization: A Second-Order Approach. CoRR (2020)
Avery Ma, Alexander Wong, David A. Clausi
Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns. CRV (2018)
Avery Ma, Alexander Wong, David A. Clausi
Depth from Defocus via Active Quasi-random Point Projections: A Deep Learning Approach. ICIAR (2017)