Milad Abdollahzadeh

FairTL: A Transfer Learning Approach for Bias Mitigation in Deep Generative Models

On Measuring Fairness in Generative Models

Label-Only Model Inversion Attacks via Knowledge Transfer

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot

Exploring Incompatible Knowledge Transfer in Few-shot Image Generation

Re-thinking Model Inversion Attacks Against Deep Neural Networks

Fair Generative Models via Transfer Learning

Few-shot Image Generation via Adaptation-Aware Kernel Modulation