Md Hasan Shahriar

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

prof_pic.jpg

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]

Mar 09, 2026 🎉 Our paper “Noise, Why Can’t You Bend? Detecting Adversarial Perturbations in Wireless Sensing via Structural Fragility” has been accepted to ACM AsiaCCS 2026.
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.

Selected Publications [See More]

2026

  1. SaTML 26
    shahriar2025temporal.png
    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
    chen2026hotwire.png
    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
  4. AsiaCCS 26
    shahriar2026noifi.png
    Noise, Why Can’t You Bend? Detecting Adversarial Perturbations in Wireless Sensing via Structural Fragility
    Md Hasan Shahriar, Ning Wang, Amit Kumar Sikder, and 3 more authors
    In Proceedings of the 21st ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2026
    Accepted

2025

  1. ACM TCPS 25
    shahriar2025vehigan.png
    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

2023

  1. IEEE IoT-J 23
    shahriar2023canshield.png
    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