Naufal Suryanto

Ph.D. & AI Researcher at Information Security and AIoT Lab, Pusan National University

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A highly motivated practitioner in the fields of AI, Computer Vision, Deep Learning, IoT, Robotics, Cybersecurity, and Intelligent Systems. Fast learner with excellent collaboration skills and a deep curiosity. Experienced as a first author and reviewer in CVPR & ICCV (as Outstanding Reviewer), and proficient in using Deep Learning Frameworks (i.e., TensorFlow and PyTorch). Recipient of numerous national and international awards, demonstrating excellence in related fields. Holds a track record of full-stack software and hardware development and providing technical solutions to complex problems.

My current research focuses on Adversarial Machine Learning, where I propose a state-of-the-art framework for generating robust and universal Adversarial Camouflage capable of hiding vehicles from detectors in the physical world.

news

Feb 23, 2024 I have officially achieved my #PhD Degree! 🎉🎓
Dec 26, 2023 I have completed the series of #PhD Defenses 🎓
Sep 29, 2023 I am deeply honored for being recognized as Outstanding Reviewer in #ICCV2023 :tada:

selected publications

  1. ICCV2023_Logo.svg
    ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
    Naufal Suryanto, Yongsu Kim, Harashta Tatimma Larasati, and 6 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2023
  2. CVPR2022_Logo.png
    DTA: Physical Camouflage Attacks Using Differentiable Transformation Network
    Naufal Suryanto, Yongsu Kim, Hyoeun Kang, and 6 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022