2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
Zhixin Pan, Emma Andrews, Laura Chang +1
Data augmentation is widely used to mitigate data bias in the training dataset. However, data augmentation exposes machine learning models to privacy attacks, such as membership in…
cs.CV2024★ 2 cited
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Ziyu Shu, Zhixin Pan
Deep image prior (DIP) proposed in recent research has revealed the inherent trait of convolutional neural networks (CNN) for capturing substantial low-level image statistics prior…
cs.LG2023★ 2 cited
Hardware Acceleration of Explainable Artificial Intelligence
Zhixin Pan, Prabhat Mishra
Machine learning (ML) is successful in achieving human-level artificial intelligence in various fields. However, it lacks the ability to explain an outcome due to its black-box nat…