Benjamin I. P. Rubinstein

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Soavtorji

Anthony D. JosephUniversity of California BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Ling HuangAHI FintechPreverjeni e-poštni naslov na cs.berkeley.edu
Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)Preverjeni e-poštni naslov na unimelb.edu.au
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Nina TaftPrincipal Research Scientist, GooglePreverjeni e-poštni naslov na google.com
Jun WangPhD Student, University of MelbournePreverjeni e-poštni naslov na student.unimelb.edu.au
Christos DimitrakakisProfessor, University of NeuchatelPreverjeni e-poštni naslov na alumni.epfl.ch
Sarah M. ErfaniAssociate Professor, Computing and Information Systems, University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
James BaileyProfessor, School of Computing and Information Systems, University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Satish B RaoPreverjeni e-poštni naslov na berkeley.edu
Neil MarchantSchool of Computing and Information Systems, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Renata Borovica-GajicSchool of Computing and Information Systems, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Aikaterini (Katerina) MitrokotsaProfessor, University of St. GallenPreverjeni e-poštni naslov na unisg.ch
Joachim Hyam RubinsteinMelbourne UniversityPreverjeni e-poštni naslov na unimelb.edu.au
Vanessa TeagueThinking Cybersecurity and The Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Olga OhrimenkoProfessor, School of Computing and Information Systems, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Jiazhen HeAstraZenecaPreverjeni e-poštni naslov na astrazeneca.com
Chris CulnaneUniversity of Melbourne (School of Computing and Information Systems)Preverjeni e-poštni naslov na unimelb.edu.au

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Benjamin I. P. Rubinstein

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

Preverjeni e-poštni naslov na unimelb.edu.au - Domača stran

Artificial Intelligence Differential Privacy Adversarial Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1621	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	503	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	271	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	256	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	163	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	143	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
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
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	120	2021
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
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
Adversarial Machine Learning AD Joseph, B Nelson, BIP Rubinstein, JD Tygar Cambridge University Press, 2019	109	2019
Health data in an open world C Culnane, BIP Rubinstein, V Teague arXiv preprint arXiv:1712.05627, 2017	109	2017
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	99*	2021

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