Rey Reza Wiyatno
Papers
1
Total Citations
79
H-Index
1
About
Rey Reza Wiyatno is a researcher in adversarial machine learning and computer vision, with a focus on the security and robustness of visual systems. His most cited work, "Physical Adversarial Textures That Fool Visual Object Tracking" (2019, 79 citations), introduces a method for generating inconspicuous physical textures that, when displayed as posters, cause visual object tracking systems to lose their target or lock onto the adversarial pattern. This contribution highlights the vulnerability of real-world tracking applications, such as autonomous vehicles and surveillance, to physical-world attacks. Wiyatno's research bridges the gap between digital adversarial examples and practical, deployable threats, demonstrating how seemingly benign objects can manipulate AI perception. His work has been influential in advancing the understanding of adversarial robustness in dynamic, real-time systems, and it continues to inspire further studies on defensive mechanisms for visual tracking.
Research Focus
Key Achievements
Top Papers
- 1Physical Adversarial Textures That Fool Visual Object Tracking79 citations · 2019