Ahmed Salem

BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models

2020 · arXiv (Cornell University)

The tremendous progress of autoencoders and generative adversarial networks (GANs) has led to their application to multiple critical tasks, such as fraud detection and sanitized data generation. This increasing adoption has fostered the study of …

Get a Model! Model Hijacking Attack Against Machine Learning Models

2021 · arXiv (Cornell University)

Machine learning (ML) has established itself as a cornerstone for various critical applications ranging from autonomous driving to authentication systems. However, with this increasing adoption rate of machine learning models, multiple attacks have emerged. One …