3 citations · 4 across the 5 of their papers we have counts for
6 papers
A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng
We propose a practical integration of logical state abstraction with AIXI, a Bayesian optimality notion for reinforcement learning agents, to significantly expand the model class t…
A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption
Yang Li, Kee Siong Ng, Michael Purcell
Why study Lattice-based Cryptography? There are a few ways to answer this question. 1. It is useful to have cryptosystems that are based on a variety of hard computational problems…
Accurate and Efficient Suffix Tree Based Privacy-Preserving String Matching
Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen +1
The task of calculating similarities between strings held by different organizations without revealing these strings is an increasingly important problem in areas such as health in…
Towards Distributed Privacy-Preserving Prediction
Lingjuan Lyu, Yee Wei Law, Kee Siong Ng +4
In privacy-preserving machine learning, individual parties are reluctant to share their sensitive training data due to privacy concerns. Even the trained model parameters or predic…
Exploiting Redundancy, Recurrence and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes
Yuhang Zhang, Tania Churchill, Kee Siong Ng
Accurate and efficient record linkage is an open challenge of particular relevance to Australian Government Agencies, who recognise that so-called wicked social problems are best t…
Probabilities on Sentences in an Expressive Logic
Marcus Hutter, John W. Lloyd, Kee Siong Ng +1
Automated reasoning about uncertain knowledge has many applications. One difficulty when developing such systems is the lack of a completely satisfactory integration of logic and p…