Benjamin I. P. Rubinstein

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Anthony D. JosephUniversity of California BerkeleyVerified email at eecs.berkeley.edu
Ling HuangAHI FintechVerified email at cs.berkeley.edu
Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)Verified email at unimelb.edu.au
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneVerified email at unimelb.edu.au
Nina TaftPrincipal Research Scientist, GoogleVerified email at google.com
Jun WangPhD Student, University of MelbourneVerified email at student.unimelb.edu.au
Sarah M. ErfaniAssociate Professor, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Christos DimitrakakisProfessor, University of NeuchatelVerified email at alumni.epfl.ch
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Neil MarchantSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Satish B RaoVerified email at berkeley.edu
Renata Borovica-GajicSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Joachim Hyam RubinsteinMelbourne UniversityVerified email at unimelb.edu.au
Aikaterini (Katerina) MitrokotsaProfessor, University of St. GallenVerified email at unisg.ch
Vanessa TeagueThinking Cybersecurity and The Australian National UniversityVerified email at anu.edu.au
Olga OhrimenkoProfessor, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Jiazhen HeAstraZenecaVerified email at astrazeneca.com
Chris CulnaneUniversity of Melbourne (School of Computing and Information Systems)Verified email at unimelb.edu.au

Benjamin I. P. Rubinstein

Professor, School of Computing and Information Systems, The University of Melbourne

Verified email at unimelb.edu.au - Homepage

Artificial Intelligence Differential Privacy Adversarial Machine Learning


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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	1628	2011
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	505	2008
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	489	2009
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	478	2012
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	345	2012
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	273	2015
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	257	2018
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	229	2011
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-e132, 2017	166	2017
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	150	2009
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	144	2014
Robust and private Bayesian inference C Dimitrakakis, B Nelson, A Mitrokotsa, BIP Rubinstein Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled …, 2014	128	2014
Machine learning in network anomaly detection: A survey S Wang, JF Balarezo, S Kandeepan, A Al-Hourani, KG Chavez, ... IEEe Access 9, 152379-152396, 2021	125	2021
Query strategies for evading convex-inducing classifiers B Nelson, BIP Rubinstein, L Huang, AD Joseph, SJ Lee, S Rao, JD Tygar The Journal of Machine Learning Research 13, 1293-1332, 2012	125	2012
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	112	2009
Adversarial Machine Learning AD Joseph, B Nelson, BIP Rubinstein, JD Tygar Cambridge University Press, 2019	110	2019
Health data in an open world C Culnane, BIP Rubinstein, V Teague arXiv preprint arXiv:1712.05627, 2017	110	2017
On the differential privacy of Bayesian inference Z Zhang, B Rubinstein, C Dimitrakakis Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI …, 2016	110	2016
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	106	2015
Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors R Zhang, P Madumal, T Miller, K Ehinger, B Rubinstein Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021	102*	2021

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