Trusted and Resilient User-controlled Scalable Transformation for (Privacy-Preserving) Machine Learning (TrustML)

• Forschungsstelle: INNOSUISSE
• Projektnummer: 121.294 IP-ICT
• Projekttitel Englisch: Trusted and Resilient User-controlled Scalable Transformation for (Privacy-Preserving) Machine Learning (TrustML)

Schlüsselwörter (Englisch)

ICT, IT security and cryptography

Abstract (Englisch)

TrustML is a privacy-preserving framework for secure inference and training of Machine Learning models in the cloud that will offer a widely applicable privacy-enhancing solution. We specifically focus on its application to cloud-based privacy-preserving large language models.