Md Hasan Shahriar

PhD Candidate in CS@VT, AI/CPS Security Researcher

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VTech Research Center

900 N Glebe Road

Arlington, VA 22204

hshahriar@vt.edu

I am a PhD candidate in Computer Science at Virginia Tech, working in the Complex Network and Security Research (CNSR) Lab under the supervision of Dr. Wenjing Lou My research bridges cyber-physical systems (CPS), artificial intelligence (AI), and cybersecurity, driven by a vision for securing the next generation of Embodied AI.

I’m open to tenure-track faculty opportunities beginning in Fall 2026.

Research Interests

  • Trustworthy & Robust Artificial Intelligence
  • Cyber-Physical Systems (CPS) Security & Resilience
  • Autonomous & Embodied Systems Security
  • Critical Infrastructure & Energy Systems Security

Education

  • Ph.D. in Computer Science, Virginia Tech (2026 expected)
  • M.S. in Computer Engineering, Florida International University (2020)
  • B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2016)

News [See More]

Jan 26, 2026 🎉 Our paper “HotWire: Real-World Impersonation and Discharge Attacks on Electric Vehicle Charging Systems” has been accepted to the USENIX Workshop on Offensive Technologies (WOOT 2026).
Jan 25, 2026 🎉 Our paper “AION: Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving’’ has been accepted to the International Conference on Learning Representation (ICLR 2026).
Dec 10, 2025 🎉 Our paper “DejaVu: Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving’’ has been accepted to the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2026). Acceptance rate: ~26%.
Sep 10, 2025 Presented our NoiSec paper at ESORICS 2025 in Toulouse, France.
Sep 05, 2025 Successfully completed my Ph.D. preliminary exam, titled “Toward Trustworthy Autonomous Cyber-Physical Systems: Robust Machine Learning for Secure Sensing, Perception, and Control.”

Selected Publications [See More]

2026

  1. SaTML 26
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    Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
    Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, and 4 more authors
    In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2026
    Accepted
    arXiv PDF
  2. ICLR 26
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    Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
    Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, and 4 more authors
    In Proceedings of The International Conference on Learning Representations (ICLR), 2026
    Accepted
    PDF
  3. WOOT 26
    HotWire: Real-World Impersonation and Discharge Attacks on Electric Vehicle Charging Systems
    Kuan Yu Chen, Md Hasan Shahriar, Wen Wei Li, and 2 more authors
    In USENIX Workshop on Offensive Technologies (WOOT), 2026
    Accepted

2025

  1. ACM TCPS 25
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    Vehigan: generative adversarial networks for adversarially robust v2x misbehavior detection systems
    Md Hasan Shahriar, Mohammad Raashid Ansari, Jean-Philippe Monteuuis, and 5 more authors
    ACM Transactions on Cyber-Physical Systems, 2025
    PDF Code
  2. ESORICS 25
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    Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
    Md Hasan Shahriar, Ning Wang, Naren Ramakrishnan, and 2 more authors
    In European Symposium on Research in Computer Security, 2025
    arXiv PDF Code

2024

  1. ICDCS 24
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    VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems
    Md Hasan Shahriar, Mohammad Raashid Ansari, Jean-Philippe Monteuuis, and 4 more authors
    In 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024
    PDF Code

2023

  1. IEEE IoT-J 23
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    CANShield: deep-learning-based intrusion detection framework for controller area networks at the signal level
    Md Hasan Shahriar, Yang Xiao, Pablo Moriano, and 2 more authors
    IEEE Internet of Things Journal, 2023
    arXiv PDF Code