Academia Membership Inference as a Model Training Metric The question of data privacy in machine learning is still widely overlooked.
Confidential Computing An even deeper dive into the Secure Enclaves In the previous blog we talked about the guarantees that we can provide when a user uses our confidential computing platform avato.
Confidential Computing The Key to Sensitive Data Analytics is Encrypted in an Enclave At decentriq we aim to solve a simple problem.
Academia Closing the circle of security in the cloud Until today, data-sensitive companies are unable to utilize the immense benefits of cloud computing.
A new model for AI governance Over the last centuries, humanity has tested and implemented various governance models for society and individuals. Checks and balances, separation of powers and democracy are ways of making our societies
Why privacy-preserving analytics are crucial for the data economy Today for most organizations it is hard to impossible to benefit from artificial intelligence (AI). Especially, when it comes to training and applying machine learning models because they require substantial
Confidential Computing A cryptographic paradigm shift in data cybersecurity Photo by Jose Fontano on UnsplashAccording to the annual report from the WEF about global risks, increased cyber-threats is one of the biggest risks that companies and countries face right
Brief Introduction to Secure Cryptographic Enclaves Photo by Johannes Plenio on UnsplashWhen Apple released the iPhone 5S in 2013, most people focused on its new camera and features such as Touch ID. However, on top of
The evolution of cryptography (deciphered) Cryptography is the backbone of our current digital society, but how did it become so important? Interestingly, the systematic study of cryptography as a science (and perhaps as an art)
