Su Jeong You
Papers
1
Total Citations
28
H-Index
1
About
Su Jeong You is a leading researcher at the intersection of computer vision and data privacy, whose work addresses one of the field’s most pressing challenges: how to protect sensitive information without sacrificing model performance. In her highly cited 2024 paper, “Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision,” You systematically investigates how various anonymization techniques—from blurring to generative adversarial network-based obfuscation—affect the accuracy of deep learning models in critical applications such as autonomous driving, medical imaging, and surveillance. Her findings provide a crucial framework for practitioners seeking to deploy vision systems that are both ethically sound and practically effective. With 28 citations in under a year, this work has quickly become a touchstone for researchers navigating the privacy-utility trade-off. You’s contributions are particularly timely as regulations tighten around biometric data, and her research offers actionable guidelines for building robust, privacy-preserving AI. For students and researchers entering this domain, You’s work is essential reading—a clear, evidence-based roadmap for the next generation of responsible computer vision.
Research Focus
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Top Papers
- 1