Ben Rubinstein

Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors

Neil G Marchant, Benjamin IP Rubinstein, Rebecca C Steorts

Journal article  |  2023  |  JOURNAL OF SURVEY STATISTICS AND METHODOLOGY

Abstract Entity resolution (record linkage or deduplication) is the process of identifying and linking duplicate re..

Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction

AC Cullen, BIP Rubinstein, S Kandeepan, B Flower, PHW Leong

Journal article  |  2023  |  Artificial Intelligence Review

The advent of the Internet of Things and 5G has further accelerated the growth in devices attempting to gain access to the wireles..

HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning

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

Conference Proceedings  |  2022  |  Proceedings of the VLDB Endowment

Effective physical database design tuning requires selection of several physical design structures (PDS), such as indices and mate..

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

Jiankai Jin, Eleanor McMurtry, Benjamin Rubinstein, Olga Ohrimenko

Conference Proceedings  |  2022  |  The IEEE Symposium on Security and Privacy (SP)

State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing

Dongge Liu, Van-Thuan Pham, Gidon Ernst, Toby Murray, Benjamin Rubinstein

Conference Proceedings  |  2022  |  2022 29th IEEE International Conference on Software Analysis, Evolution and Reengineering

The statefulness property of network protocol implementations poses a unique challenge for testing and verification techniques, in..

Local Intrinsic Dimensionality Signals Adversarial Perturbations

S Weerasinghe, T Abraham, T Alpcan, SM Erfani, C Leckie, BIP Rubinstein

Conference Proceedings  |  2022  |  Proceedings of the IEEE Conference on Decision and Control

The vulnerability of machine learning models to adversarial perturbations has motivated a significant amount of research under the..

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

Neil G Marchant, Benjamin IP Rubinstein, Scott Alfeld

Conference Proceedings  |  2022  |  THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

The right to erasure requires removal of a user's information from data held by organizations, with rigorous interpretations exten..

Foiling Training-Time Attacks on Neural Machine Translation Systems

J Wang, X He, BIP Rubinstein, T Cohn

Conference Proceedings  |  2022  |  Findings of the Association for Computational Linguistics: EMNLP 2022

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

J Jin, E McMurtry, BIP Rubinstein, O Ohrimenko

Conference Proceedings  |  2022  |  Proceedings - IEEE Symposium on Security and Privacy

Differential privacy is a de facto privacy framework that has seen adoption in practice via a number of mature software platforms...

A Graph Symmetrization Bound on Channel Information Leakage Under Blowfish Privacy

Tobias Edwards, Benjamin IP Rubinstein, Zuhe Zhang, Sanming Zhou

Journal article  |  2022  |  IEEE TRANSACTIONS ON INFORMATION THEORY

Blowfish privacy is a recent generalisation of differential privacy that enables improved utility while maintaining privacy polici..