Presentation at ICRA 2026
Jacob Blevins successfully defended PhD thesis
Time-varying parameter affine transformation-based perfectly undertectable attack (TV-ATPA) paper published in Control Engineering Practice
Kwon, Hyuk Bin, Meriem Ernez, and Jun Ueda. “Time-Varying Affine Transformation-based Perfectly Undetectable Attacks: Eliminating Timing Constraints and Enabling Destination Control” Control Engineering Practice, Vol. 175, October 2026 Abstract This paper presents a theoretical framework for Time-Varying Affine Transformation-based Perfectly Undetectable Attacks (TV-ATPA) on linear time-invariant (LTI) control systems. The…
Mathworks Academic Course Support (Gift)
A $15,000 MathWorks Academic Course Support award (gift) has been awarded for the project “Developing a MATLAB Library for Secure Control and Cyber‑Physical Systems Resilience Education.” The support will enable the development of MATLAB‑based educational tools that enhance hands‑on learning in secure control and cyber‑physical systems, strengthening curriculum and student…
Tarun has been selected for NSF Graduate Research Fellowship Program (GRFP)
The U.S. National Science Foundation (NSF) today announced that it has made offers and will award 2,500 Graduate Research Fellowships for the 2026-2027 academic year to outstanding graduate students across the United States. Tarun Vinodkumar is one of such prestigious awardees.
Georgia Tech Researchers Expose Hidden Cybersecurity Risk in Mobile Robots
Ueda is awarded an endowed professorship.
Dr. Jun Ueda has been awarded Harris Saunders Jr. Professorship at the School of Mechanical Engineering.
Paper on perfectly undetectable attack on mobile robot dynamics and attack detection using state monitoring function published in Transactions on Robotics
Perfectly Undetectable Reflection and Scaling False Data Injection Attacks via Affine Transformation on Mobile Robot Trajectory Tracking Control, 10.1109/TRO.2025.3626620, IEEE Transactions on Robotics, https://ieeexplore.ieee.org/document/11219216Jun Ueda and Hyukbin Kwon With the increasing integration of cyber-physical systems (CPS) into critical applications, ensuring their resilience against cyberattacks is paramount. A particularly concerning threat…
Paper on Affine Transformation-based Perfectly Undetectable False Data Injection Attacks published in IEEE Trans. Industrial Cyber-Physical Systems
https://ieeexplore.ieee.org/document/11183579 J. Ueda, “Affine Transformation-based Perfectly Undetectable False Data Injection Attacks from Controller’s Perspective on State- and Output Feedback Linear Control Systems,” in IEEE Transactions on Industrial Cyber-Physical Systems, doi: 10.1109/TICPS.2025.3615175 This paper demonstrates the fundamental vulnerability of networked linear control systems to perfectly undetectable false data injection attacks (FDIAs)…