Sok: Pitfalls in evaluating black-box attacks
Numerous works study black-box attacks on image classifiers, where adversaries generate
adversarial examples against unknown target models without having access to their internal …
adversarial examples against unknown target models without having access to their internal …
MisGUIDE: Defense Against Data-Free Deep Learning Model Extraction
M Gurve, S Behera, S Ahlawat, Y Prasad - arXiv preprint arXiv:2403.18580, 2024 - arxiv.org
The rise of Machine Learning as a Service (MLaaS) has led to the widespread deployment
of machine learning models trained on diverse datasets. These models are employed for …
of machine learning models trained on diverse datasets. These models are employed for …
GNMS: A novel method for model stealing based on GAN
M Zeng, Y Wang, Y Zhang, J Niu… - … on Advanced Cloud and …, 2023 - ieeexplore.ieee.org
Many well-performing models are currently deployed on the cloud to provide machine
Learning as a service (MLaaS). However, these models are susceptible to Model Stealing …
Learning as a service (MLaaS). However, these models are susceptible to Model Stealing …