Publications

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

2026

Sri Hrushikesh Varma Bhupathiraju, Tetsu Ishizue, Nicholas Costagliola, Ozora Sako, Kentaro Yoshioka, Takeshi Sugawara, and Sara Rampazzi, Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation. In ACM Conference on Computer and Communications Security (CCS), 2026.

Sri Hrushikesh Varma Bhupathiraju, Shaoyuan Xie, Michael Clifford, Qi Alfred Chen, Takeshi Sugawara, Sara Rampazzi, The Heat is On: Understanding and Mitigating Vulnerabilities of Thermal Image Perception in Autonomous Systems. In Network and Distributed System Security Symposium (NDSS), 2026.

Sri Hrushikesh Varma Bhupathiraju, Takami Sato, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, and Sara Rampazzi, To go or not to go: Shedding light on traffic light signal manipulation and defense strategies. In ACM Transactions on Cyber-Physical Systems, 2026.

Jennifer Sheldon, Yungwoo Ko, Sri Hrushikesh Varma Bhupathiraju, Sara Osmanovic, Weidong Zhu, Md Jahidul Islam, and Sara Rampazzi, Repliguard: Policy-driven replica management framework for protecting against acoustic attacks,. In ACM Secure Development Conference (SecDev), 2026.

Arifu Onishi*, Sri Hrushikesh Varma Bhupathiraju*, Rishikesh Bhatt, Sara Rampazzi, and Takeshi Sugawara, Sound of Interference: Electromagnetic Eavesdropping Attack on Digital Microphones Using Pulse Density Modulation. In USENIX Security Symposium, 2025. (* denotes co-first)

Daniel Olszewski, Allison Lu, Anna Crowder, Nathaniel Bennett, Seth Layton, Sri Hrushikesh Varma Bhupathiraju, Tyler Tucker, Siddhant Kalgutkar, Hunter Ver Helst, Carson Stillman, Kevin RB Butler, Sara Rampazzi, Patrick Traynor Reproducibility in Applied Security Conferences: An 11-Year Review on Artifacts and Evaluation Committees. In ACM Conference on Reproducibility and Replicability (REP), 2025, Best Paper Award.

Takami Sato*, Sri Hrushikesh Varma Bhupathiraju*, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, and Sara Rampazzi, "Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception". In Network and Distributed System Security Symposium (NDSS), 2024. (* denotes co-first)
Jennifer Sheldon, Weidong Zhu, Adnan Abdullah, Sri Hrushikesh Varma Bhupathiraju, Takeshi Sugawara, Kevin R. B. Butler, Md Jahidul Islam, and Sara Rampazzi, "AquaSonic: Acoustic Manipulation of Underwater Data Center Operations and Resource Management". In IEEE Symposium on Security and Privacy (S&P), 2024.
Sri Hrushikesh Varma Bhupathiraju, Takami Sato, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, and Sara Rampazzi, "On the Vulnerability of Traffic Light Recognition Systems to Laser Illumination Attacks". In ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024.
Jingxi Weng, Sri Hrushikesh Varma Bhupathiraju, Thomas Samant, Alex Dresner, Jian Wu, Sanjiv S. Samant, "Convolutional LSTM Model for Cine Image Prediction of Abdominal Motion." In Medical & Biological Engineering & Computing, 2024.

Sri Hrushikesh Varma Bhupathiraju, Jennifer Sheldon, Luke A. Bauer, Vincent Bindschaedler, Takeshi Sugawara, and Sara Rampazzi, "EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting Using Electromagnetic Interference." In ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2023.
Takami Sato*, Sri Hrushikesh Varma Bhupathiraju*, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, and Sara Rampazzi, "WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems." In ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2023, ETAS Best Short Paper and Qualcomm Demo Award. (* denotes co-first)
Yulong Cao, Sri Hrushikesh Varma Bhupathiraju, Pirouz Naghavi, Takeshi Sugawara, Z. Morley Mao, and Sara Rampazzi, "You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks." In USENIX Security Symposium, 2023.
Jingxi Weng, Mohammad Anas, Sri Hrushikesh Varma Bhupathiraju, Thomas Samant, Alex Dresner, Jian Wu, Sanjiv S. Samant, "Organ-Specific Abdominal Motion Prediction Using Deep Learning with Cine-MRI." In American Association of Physicists in Medicine (AAPM), 2023.