2024

Learning to obstruct few-shot image classification over restricted classes
Learning to obstruct few-shot image classification over restricted classes

Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh (* equal contribution)

ECCV 2024

[Paper] [Project Page] [Code]

Learning to obstruct few-shot image classification over restricted classes
Learning to obstruct few-shot image classification over restricted classes

Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh (* equal contribution)

ECCV 2024

[Paper] [Project Page] [Code]

IMMA: Immunizing text-to-image Models against Malicious Adaptation
IMMA: Immunizing text-to-image Models against Malicious Adaptation

Amber Yijia Zheng, Raymond A. Yeh

ECCV 2024

AI4CC Workshop in CVPR, 2024 (Best paper Runner-up)

[Paper] [Project Page] [arXiv] [Code]

IMMA: Immunizing text-to-image Models against Malicious Adaptation
IMMA: Immunizing text-to-image Models against Malicious Adaptation

Amber Yijia Zheng, Raymond A. Yeh

ECCV 2024

[Paper] [Project Page] [arXiv] [Code]

Graph Machine Learning through the Lens of Bilevel Optimization
Graph Machine Learning through the Lens of Bilevel Optimization

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

AISTATS 2024

[Paper] [arXiv] [Code]

Graph Machine Learning through the Lens of Bilevel Optimization
Graph Machine Learning through the Lens of Bilevel Optimization

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

AISTATS 2024

[Paper] [arXiv] [Code]

2022

Learning Manifold Dimensions with Conditional Variational Autoencoders
Learning Manifold Dimensions with Conditional Variational Autoencoders

Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf

NeurIPS 2022

[Paper] [arXiv] [Code]

Learning Manifold Dimensions with Conditional Variational Autoencoders
Learning Manifold Dimensions with Conditional Variational Autoencoders

Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf

NeurIPS 2022

[Paper] [arXiv] [Code]