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Contact


Email

benjamin.rubinstein@unimelb.edu.au

Credentials


Position
Professor
School of Computing and Information Systems
Education
PhD
University of California - Berkeley
Masters (Research)
University of Melbourne
Bachelors Degree
University of Melbourne
Bachelors Degree (Honours)
University of Melbourne
ORCID

0000-0002-2947-6980

Prof Ben Rubinstein

Professor
School of Computing and Information Systems

142 Scholarly works
30 Projects

HIGHLIGHTS

  • 2025

    Research contracts (non-grants)

    Adversarial Reinforcement Learning: Attacks and Defences
  • 2022

    Conference Proceedings

    Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
    DOI: 10.1109/SP46214.2022.9833672
  • 2021

    Conference Proceedings

    Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance
    DOI: 10.1145/3447548.3467435
  • 2021

    Research Grant

    AUSMURI Cohesive and Robust Human-Bot Cybersecurity Teams
  • 2021

    Conference Proceedings

    A targeted attack on black-box neural machine translation with parallel data poisoning
    DOI: 10.1145/3442381.3450034
  • 2021

    Journal article

    d-blink: Distributed End-to-End Bayesian Entity Resolution
    DOI: 10.1080/10618600.2020.1825451
  • 2017

    Research Contracts

    Adversarial Machine Learning for Cyber
Ben Rubinstein

Latest Honours,
Awards and Fellowships


2019
Best Reviewer Award NeurIPS 2019
2018
Best Reviewer Award NeurIPS 2018
2016
Tall Poppy in Science Award
2014
Excellence in Research Award (2014), Department of Computing and Information Systems University of Melbourne

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Semantic-aware Adversarial Fine-tuning for CLIP
  • 2025

    Conference Proceedings

    MULTI-LEVEL CERTIFIED DEFENSE AGAINST POISONING ATTACKS IN OFFLINE REINFORCEMENT LEARNING
  • 2025

    Conference Proceedings

    TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning
    DOI: 10.18653/v1/2025.findings-acl.848
  • 2025

    Journal article

    RS-Reg: Probabilistic and Robust Certified Regression through Randomized Smoothing
  • 2025

    Conference Proceedings

    Position: Certified Robustness Does Not (Yet) Imply Model Security
  • 2025

    Conference Proceedings

    Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-Satellite
    DOI: 10.1007/978-981-96-0348-0_24
  • 2025

    Book Chapter

    Data Privacy in Enterprise AI
    DOI: 10.1007/978-3-032-01940-0_5
  • 2025

    Conference Proceedings

    One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy

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