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Found 3 papers, 1 papers with code
ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models
Our scheme checks the effectiveness of these adversarial examples on a suspect model to determine whether it has been derived from the original model.
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
This paper examines the evolving landscape of machine learning (ML) and its profound impact across various sectors, with a special focus on the emerging field of Privacy-preserving Machine Learning (PPML).
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction
Unlike existing approaches treating models as black boxes, Scale-MIA recognizes the importance of the intricate architecture and inner workings of machine learning models.
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