Like many difficult cyber security problems, prompt-injection attacks is likely to become an ongoing issue that shifts and turns with the continual discovery of new attacks and new defences going forward. Instead of responding in natural language given a prompt, the best current defence I know involves always generating code, say, in a safe interpreted … More Thoughts on Prompt Injection Attacks
To support public-service agencies in the implementation of their own responsible use of AI policies, the Australian Government’s Digital Transformation Agency (DTA) has made publicly available its AI Fundamentals training course in the form of a SCORM package, a commonly used technical standard for putting together content for Learning Management Systems (LMS). The DTA training … More Customising the Australian Government’s AI Fundamentals Training Course
Cyber security and data security are closely related concepts that operate at different levels and provide different safeguards. Cyber security is primarily about controlling access to systems and data through different security protection mechanisms, from the physical network layer all the way to the application layer. These security mechanisms come primarily in the form of … More Data Security vs Cyber Security
In this post on the last day of the year, I thought I will share a map of mathematical structures that are useful for thinking about knowledge representation and reasoning (KRR) issues in Artificial Intelligence and Machine Learning. It is built on top of the diagram shown in Max Tegmark’s paper Is “the theory of … More A Map of Mathematical Structures for AI
As is well known, the Paillier encryption system supports addition of two encrypted numbers and the scalar multiplication of a constant and an encrypted number. I learned recently one can compare two encrypted numbers and multiply two encrypted numbers in Paillier by making a trip to the private key holder. Let’s first look at comparison. … More Multiplication and Comparison Operations in Paillier
Identify a problem that would benefit from using R Read An Introduction to R by Venables, Smith, and the R Core Team Work on solving the identified problem using R Get access to resources with lots of R code templates for solving different problems (e.g. Handbook of Statistical Analysis using R by Everitt and Hothorn and Data … More The Learn-R Algorithm
My colleagues and I have just published on arXiv a simple but highly effective Entity Resolution algorithm that can scale to billions of records and handle significant data quality issues. The paper is titled Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases and it is an extension of our previous paper on linking millions of addresses … More Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases
Having spent nearly a decade studying the design and implementation of declarative programming languages in a previous life, I get a bit frustrated whenever I see people getting religious about programming languages and platforms. In the data science circle, an active discussion is around Scala (on Spark) vs SQL (on parallelised relational databases). They are … More The Missing Data Science Language?
In a previous post on the problem of detecting complex financial crimes, I described the following basic technology framework for financial intelligence units (FIUs) and their partner agencies and reporting entities (REs) to engage in collaborative but privacy-preserving and distributed risk modelling using confidential computing technologies. In this post, I describe a few concrete algorithms that … More Practical Algorithms for Distributed Privacy-Preserving Risk Modelling
The Paillier Cryptosystem is a partial homomorphic encryption scheme that supports two important operations: addition of two encrypted integers and the multiplication of an encrypted integer by an unencrypted integer. In practice, many applications of Paillier require an extension of the underlying scheme beyond integers to handle floating-point numbers. For example, just about every popular machine learning … More Extending the Paillier Cryptosystem to Handle Floating Point Numbers
Mental Models 4 Life 