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Benjamin I. P. Rubinstein
Benjamin I. P. Rubinstein
Professor, School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Adversarial machine learning
L Huang, AD Joseph, B Nelson, BIP Rubinstein, JD Tygar
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence …, 2011
12482011
A Bayesian approach to discovering truth from conflicting sources for data integration
B Zhao, BIP Rubinstein, J Gemmell, J Han
Proceedings of the VLDB Endowment 5 (6), 550-561, 2012
4322012
ANTIDOTE: Understanding and defending against poisoning of anomaly detectors
BIP Rubinstein, B Nelson, L Huang, AD Joseph, S Lau, S Rao, N Taft, ...
Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement …, 2009
4082009
Exploiting Machine Learning to Subvert Your Spam Filter.
B Nelson, M Barreno, FJ Chi, AD Joseph, BIP Rubinstein, U Saini, ...
First USENIX Workshop on Large-scale Exploits and Emergent Threats (LEET'08 …, 2008
3842008
Learning in a large function space: Privacy-preserving mechanisms for SVM learning
BIP Rubinstein, PL Bartlett, L Huang, N Taft
Journal of Privacy and Confidentiality 4 (1), 65-100, 2012
2872012
Link prediction by de-anonymization: How we won the kaggle social network challenge
A Narayanan, E Shi, BIP Rubinstein
The 2011 International Joint Conference on Neural Networks (IJCNN), 1825-1834, 2011
2172011
Identifying At-Risk Students in Massive Open Online Courses
J He, J Bailey, BIP Rubinstein, R Zhang
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI …, 2015
2132015
PPFA: Privacy preserving fog-enabled aggregation in smart grid
L Lyu, K Nandakumar, B Rubinstein, J Jin, J Bedo, M Palaniswami
IEEE Transactions on Industrial Informatics 14 (8), 3733-3744, 2018
1872018
Misleading learners: Co-opting your spam filter
B Nelson, M Barreno, FJ Chi, AD Joseph, BIP Rubinstein, U Saini, ...
Machine Learning in Cyber Trust, 17-51, 2009
1232009
Query Strategies for Evading Convex-Inducing Classifiers.
B Nelson, BIP Rubinstein, L Huang, AD Joseph, SJ Lee, S Rao, JD Tygar
Journal of Machine Learning Research 13 (5), 2012
1212012
Security evaluation of support vector machines in adversarial environments
B Biggio, I Corona, B Nelson, BIP Rubinstein, D Maiorca, G Fumera, ...
Support Vector Machines Applications, 105-153, 2014
1152014
Machine-learning algorithms predict graft failure after liver transplantation
L Lau, Y Kankanige, B Rubinstein, R Jones, C Christophi, V Muralidharan, ...
Transplantation 101 (4), e125, 2017
1072017
Robust and private Bayesian inference
C Dimitrakakis, B Nelson, A Mitrokotsa, BIP Rubinstein
Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled …, 2014
1062014
Adaptive bidding for display advertising
A Ghosh, BIP Rubinstein, S Vassilvitskii, M Zinkevich
Proceedings of the 18th International Conference on World Wide Web, 251-260, 2009
1042009
A game theoretical approach to defend against co-resident attacks in cloud computing: Preventing co-residence using semi-supervised learning
Y Han, T Alpcan, J Chan, C Leckie, BIP Rubinstein
IEEE Transactions on information Forensics and Security 11 (3), 556-570, 2015
882015
On the differential privacy of Bayesian inference
Z Zhang, B Rubinstein, C Dimitrakakis
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI …, 2016
852016
Evolving quantum circuits using genetic programming
BIP Rubinstein
Proceedings of the 2001 Congress on Evolutionary Computation, 144-151, 2001
842001
Health data in an open world
C Culnane, BIP Rubinstein, V Teague
arXiv preprint arXiv:1712.05627, 2017
812017
Adversarial Machine Learning
AD Joseph, B Nelson, BIP Rubinstein, JD Tygar
Cambridge University Press, 2019
782019
Stealthy poisoning attacks on PCA-based anomaly detectors
BIP Rubinstein, B Nelson, L Huang, AD Joseph, S Lau, S Rao, N Taft, ...
ACM SIGMETRICS Performance Evaluation Review 37 (2), 73-74, 2009
642009
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