Investigators Detect Over 20 Weaknesses in Supply Chain of MLOps Platforms
A group of cybersecurity experts have cautioned about the risks to security present within the supply chain of machine learning...
Learning
Scientists Uncover More Than 20 Weaknesses in Supply Chain of MLOps Platforms
A team of experts in cybersecurity have cautioned about the security threats in the machine learning (ML) software supply chain...
Safeguarding Trained Models in Privacy-Protecting Federated Learning
This article is a part of a sequence on privacy-preserving federated learning. The sequence is a joint effort by NIST...
Safeguarding Trained Models in Privacy-Preserving Federated Learning
One article forms part of a sequence concerning privacy-protecting federated learning. This sequence is a partnership between NIST and the...
Safeguarding Trained Models in Privacy-Preserving Federated Learning
One of a chain of articles focusing on privacy-oriented federated learning is featured in this post. The collaboration on this...
Safeguarding Trained Models in Privacy-Preserving Federated Learning
This article is part of a sequence on privacy-preserving federated learning. The sequence is a joint effort between NIST and...
Safeguarding Trained Models in Privacy-Preserving Federated Learning
This article is part of a collection on privacy-ensuring federated learning. This series is a joint effort between NIST and...
Protecting Safeguarded Models in Private Federated Learning
One part of an assortment concerning safeguarded federated learning is highlighted in this article. An alliance between NIST and the...
Securing Trained Models in Confidential Federated Learning
The post belongs to a sequence on confidentiality-centered federated learning. The collaborative series involves NIST and the UK government’s Responsible...
