Naufal Suryanto

Postdoctoral Fellow at Robust Intelligent Systems Lab (RISys-Lab), Khalifa 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 Robust AI System on Computer Vision and Large Language Model.

news

Jun 18, 2026 Our paper “ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP” has been accepted to ECCV 2026! 🎉
Feb 21, 2026 Our paper “SPARROW: Learning Spatial Precision and Temporal Referential Consistency in Pixel-Grounded Video MLLMs” has been accepted to CVPR 2026! 🎉
Jan 26, 2026 Our paper “RedSage: A Cybersecurity Generalist LLM” has been accepted to ICLR2026! 🎉
May 19, 2025 Relocating to the UAE 🇦🇪 and starting a new #PostdoctoralFellowship at the Robust Intelligent Systems Lab (RISys-Lab), Khalifa University, under Prof. Muzammal Naseer.
Mar 1, 2024 Starting my #PostdoctoralFellowship at Pusan National University 🎓

selected publications

  1. iclr_logo.svg
    RedSage: A Cybersecurity Generalist LLM
    Naufal Suryanto, Muzammal Naseer, Pengfei Li, and 5 more authors
    In The Fourteenth International Conference on Learning Representations, 2026
  2. 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
  3. 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