Publications

You can also find my articles on my Google Scholar profile.

  • Improving Adversarial Transferability via Model Alignment [ paper ]

    Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu

    Under Review, 2023

  • A Survey on Transferability of Adversarial Examples across Deep Neural Networks [ paper ]

    Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqain Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr

    Under Review, 2023

  • Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods [ blog ] [ paper ] [ code ]

    Avery Ma, Yangchen Pan, Amir-massoud Farahmand

    In Transactions on Machine Learning Research (TMLR) with Featured Certification (Top 3% of Accepted Papers)

  • SAGE: Saliency-Guided Mixup with Optimal Rearrangements [ paper ] [ code ]

    Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly

    In British Machine Vision Conference (BMVC), 2022

  • Improving Hierarchical Adversarial Robustness of Deep Neural Networks [ paper ]

    Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu

    Preprint, 2021

  • SOAR: Second-Order Adversarial Regularization [ paper ]

    Avery Ma, Fartash Faghri, Nicolas Papernot, Amir-massoud Farahmand

    Preprint, 2020

  • Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns [ paper ]

    Avery Ma, Alexander Wong, David Clausi

    In Conference on Computer and Robot Vision (CRV), 2018

  • Real-time spatial-based projector resolution enhancement [ paper ]

    Avery Ma, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul Fieguth

    In Society for Information Display (SID) Symposium Digest of Technical Papers, 2018

  • An inverse problem approach to computational active depth from defocus [ paper ] [ code ]

    Avery Ma, Alexander Wong

    In Journal of Physics: Conference Series, 2018

  • Depth from defocus via active multispectral quasi-random point projections using deep learning [ paper ] [ code ]

    Avery Ma, Alexander Wong, David Clausi

    In Conference on Vision and Imaging Systems (CVIS), 2017

  • Motion detection in high resolution enhancement [ paper ]

    Xiaodan Hu, Avery Ma, Ahmed Gawish, Mark Lamm, Paul Fieguth

    In Conference on Vision and Imaging Systems (CVIS), 2017

  • Depth from defocus via active quasi-random point projections: a deep learning approach [ paper ] [ code ]

    Avery Ma, Alexander Wong, David Clausi

    In International Conference on Image Analysis and Recognition (ICIAR), 2017

  • Enhanced depth from defocus via active quasi-random colored point projections [ paper ] [ code ]

    Avery Ma, Alexander Wong

    In International Conference on Inverse Problems in Engineering (ICIPE), 2017

  • Depth from defocus via active quasi-random point projections [ paper ] [ code ]

    Avery Ma, Alexander Wong

    In Conference on Vision and Imaging Systems (CVIS), 2016


Patents

  • SAGE: Saliency-Guided Mixup with Optimal Re-arrangements for Efficient Data Augmentation

    Avery Ma, Nikita Dvornik, Ran Zhang, Konstantinos Derpanis, Afsaneh Fazly

    Patent Pending

  • Real-time spatial-based resolution enhancement using shifted superposition

    Avery Ma, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul Fieguth

    Patent No.: [ 10009587 B1 ]


Thesis

  • Computational Depth from Defocus via Active Quasi-random Pattern Projections [ pdf ]

    Avery Ma

    University of Waterloo MASc Thesis


Projects

  • RideOn - All Terrain Personal Transportation Device [ video ]

    Avery Ma, Jonathan Tham, Terry Yang, Chris Song, Terry Ho

    University of Waterloo 2016 Mechatronics Engineering Capstone Design Project