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Benjamin I. P. Rubinstein

◀ ▶ joint publications with Sarah M. Erfani

> Home > Persons > Benjamin I. P. Rubinstein

Publications

2023
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  - conf/aaai/LiuCMER23
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Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI 2023: 8861-8869
[i63]
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  - journals/corr/abs-2302-04379
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Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR abs/2302.04379 (2023)
[i60]
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  - journals/corr/abs-2308-07553
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Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR abs/2308.07553 (2023)
[i59]
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  - journals/corr/abs-2309-11005
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Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR abs/2309.11005 (2023)
2022
[c65]
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  - conf/cdc/WeerasingheAAEL22
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Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC 2022: 6118-6125
[c63]
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  - conf/nips/CullenMLER22
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Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS 2022
[i55]
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  - journals/corr/abs-2210-06077
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Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR abs/2210.06077 (2022)
2021
[c51]
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  - conf/ijcai/WeerasingheAAEL21
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Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI 2021: 3176-3184
[i49]
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  - journals/corr/abs-2109-11803
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Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR abs/2109.11803 (2021)
2020
[c42]
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  - conf/ijcnn/0003HMVARLAE20
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Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN 2020: 1-8
2019
[i33]
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  - journals/corr/abs-1902-09062
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Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR abs/1902.09062 (2019)
2018
[c34]
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  - conf/gamesec/0003RAAVEHLM18
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Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec 2018: 145-165
[i29]
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  - journals/corr/abs-1808-05770
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Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR abs/1808.05770 (2018)

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