InfoQ Homepage Data Privacy Content on InfoQ
Articles
RSS Feed-
Zero-Knowledge Proofs for the Layman
This article will introduce you to zero-knowledge proofs, a kind of cryptography you can use to provide the proof you know a secret, such as a private key or the solution to a problem, without ever sharing it to an interested party. While many articles exist on the topic, this will not require any high math knowledge.
-
Data Protection Methods for Federal Organizations and beyond
The Federal Data Strategy describes a plan to “accelerate the use of data to deliver on mission, serve the public, and steward resources while protecting security, privacy, and confidentiality." This article covers what it is and how it can be applied to any organization.
-
Who Moved My Code? An Anatomy of Code Obfuscation
In this article, we introduce the topic of code obfuscation, with emphasis on string obfuscation. Obfuscation is an important practice to protect source code by making it unintelligible. Obfuscation is often mistaken with encryption, but they are different concepts. In the article we will present a number of techniques and approaches used to obfuscate data in a program.
-
Virtual Panel: the New US-EU Data Privacy Framework
Recent rulings by several European courts have set important precedents for restricting personal data transmission from the EU to the US. As a consequence, the US and EU have started working on a new agreement. In this virtual panel, three knowledgeable experts discuss where the existing agreements fall short, and whether a new privacy agreement could improve the current situation.
-
Developing Deep Learning Systems Using Institutional Incremental Learning
Institutional incremental learning promises to achieve collaborative learning. This form of learning can address data sharing and security issues, without bringing in the complexities of federated learning. This article talks about practical approaches which help in building an object detection system.
-
Overcoming Data Scarcity and Privacy Challenges with Synthetic Data
In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and more importantly data privacy.
-
The End of the Privacy Shield Agreement Could Lead to Disaster for Hyperscale Cloud Providers
The recent ending of the Privacy Shield agreement by the European Court of Justice (ECJ) might impact cloud adoption. This article looks at the demise of this agreement, and possible solutions.