Ben Rubinstein

d-blink: Distributed End-to-End Bayesian Entity Resolution

Neil G Marchant, Andee Kaplan, Daniel N Elazar, Benjamin IP Rubinstein, Rebecca C Steorts

Journal article  |  2021  |  Journal of Computational and Graphical Statistics

LEGION: Best-First Concolic Testing

D Liu, G Ernst, T Murray, BIP Rubinstein

Conference Proceedings  |  2020  |  Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin IP Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

Conference Proceedings  |  2020  |  2020 International Joint Conference on Neural Networks (IJCNN)

Recent studies have demonstrated that reinforcement learning (RL) agents are susceptible to adversarial manipulation, similar to v..

Tracking, tracing, trust: contemplating mitigating the impact of COVID-19 with technological interventions.

Kobi Leins, Christopher Culnane, Benjamin Ip Rubinstein

Journal article  |  2020  |  Medical Journal of Australia

Tracking, tracing, trust: contemplating mitigating the impact of COVID-19 through technological interventions. (in reply)

Christopher Culnane, Kobi Leins, Benjamin Ip Rubinstein

Journal article  |  2020  |  Medical Journal of Australia

Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model

Shuo Zhou, Howard Bondell, Antoinette Tordesillas, Benjamin IP Rubinstein, James Bailey

Journal article  |  2020  |  The Annals of Applied Statistics

Movement of soil and rocks in an unstable slope under gravitational forces is an example of a complex system that is highly dynami..

Sampling Without Compromising Accuracy in Adaptive Data Analysis

Benjamin Fish, Lev Reyzin, Benjamin Rubinstein

Conference Proceedings  |  2020  |  Proceedings of the 31st International Conference on Algorithmic Learning Theory

In this work, we study how to use sampling to speed up mechanisms for answering adaptive queries into datasets without reducing th..

Legion: Best-first concolic testing (competition contribution)

D Liu, G Ernst, T Murray, BIP Rubinstein

Conference Proceedings  |  2020  |  Lecture Notes in Artificial Intelligence

Legion is a grey-box coverage-based concolic tool that aims to balance the complementary nature of fuzzing and symbolic execution ..

Function Interpolation for Learned Index Structures

NF Setiawan, BIP Rubinstein, R Borovica-Gajic

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Range indexes such as B-trees are widely recognised as effective data structures for enabling fast retrieval of records by the que..

Assessing Centrality Without Knowing Connections

Leyla Roohi, Benjamin IP Rubinstein, Vanessa Teague

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

We consider the privacy-preserving computation of node influence in distributed social networks, as measured by egocentric between..