Ben Rubinstein

Needle in a Haystack

Neil G Marchant, Benjamin IP Rubinstein

Conference Proceedings  |  2021  |  Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M Erfani, Christopher Leckie, Benjamin IP Rubinstein

Conference Proceedings  |  2021  |  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Nonlinear regression, although widely used in engineering, financial and security applications for automated decision making, is k..

A targeted attack on black-box neural machine translation with parallel data poisoning

C Xu, J Wang, Y Tang, F GuzmA¡n, BIP Rubinstein, T Cohn

Conference Proceedings  |  2021  |  The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021

As modern neural machine translation (NMT) systems have been widely deployed, their security vulnerabilities require close scrutin..

DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees

RM Perera, B Oetomo, BIP Rubinstein, R Borovica-Gajic

Conference Proceedings  |  2021  |  Proceedings - International Conference on Data Engineering

Automating physical database design has remained a long-term interest in database research due to substantial performance gains af..

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

Entity resolution (ER; also known as record linkage or de-duplication) is the process of merging noisy databases, often in the abs..

Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning

Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin Rubinstein, Trevor Cohn

Conference Proceedings  |  2021  |  Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation

Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin Rubinstein, Trevor Cohn

Conference Proceedings  |  2021  |  Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

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  |  Proceedings of the International Joint Conference on Neural Networks

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