Minchi Kuang
Papers
1
Total Citations
19
H-Index
1
About
Dr. Minchi Kuang is a leading researcher in the field of 3D perception and adversarial machine learning, with a focus on securing deep learning systems for critical real-world applications like autonomous vehicles and robotics. Her most cited work, "The Art of Defense: Letting Networks Fool the Attacker" (2023, 19 citations), addresses a fundamental vulnerability in 3D object classifiers that rely on point cloud data—a key technology for how machines interpret their environment. Kuang’s major contribution lies in developing novel defense strategies that turn a network’s own weaknesses into strengths, effectively misleading attackers rather than simply blocking them. This paradigm-shifting approach has been recognized as a breakthrough in adversarial robustness, offering a more resilient path for deploying AI in safety-critical domains. Her research not only advances the theoretical understanding of 3D perception vulnerabilities but also provides practical, deployable solutions. With a growing citation impact and a reputation for innovative thinking, Kuang is shaping the future of secure, intelligent systems that can navigate and interact with the physical world safely.
Research Focus
Key Achievements
Top Papers
- 1The Art of Defense: Letting Networks Fool the Attacker19 citations · 2023