Članki z zahtevami za javni dostop - Benjamin I. P. RubinsteinVeč o tem
Na voljo nekje: 40
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
Zahteve: Government of Spain, Government of Italy
On the differential privacy of Bayesian inference
Z Zhang, B Rubinstein, C Dimitrakakis
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI …, 2016
Zahteve: Swiss National Science Foundation, Australian Research Council
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
Zahteve: Australian Research Council
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
NG Marchant, BIP Rubinstein, S Alfeld
Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022
Zahteve: Australian Research Council
Differential privacy for Bayesian inference through posterior sampling
C Dimitrakakis, B Nelson, Z Zhang, A Mitrokotsa, BIP Rubinstein
Journal of machine learning research 18 (11), 1-39, 2017
Zahteve: Swiss National Science Foundation, Australian Research Council
Exploiting worker correlation for label aggregation in crowdsourcing
Y Li, B Rubinstein, T Cohn
International conference on machine learning, 3886-3895, 2019
Zahteve: US Department of Defense, Australian Research Council
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Z Yang, L Li, X Xu, S Zuo, Q Chen, P Zhou, B Rubinstein, C Zhang, B Li
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) 34 …, 2021
Zahteve: US National Science Foundation
The Bernstein mechanism: Function release under differential privacy
F Aldà, BIP Rubinstein
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'2017), 2017
Zahteve: Australian Research Council, German Research Foundation
Pain-Free Random Differential Privacy with Sensitivity Sampling
BIP Rubinstein, F Aldà
Proceedings of the 34th International Conference on Machine Learning, 2950--2959, 2017
Zahteve: Australian Research Council, German Research Foundation
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations
Y Li, BIP Rubinstein, T Cohn
Proceedings of the 2019 World Wide Web Conference on World Wide Web, 2019
Zahteve: US Department of Defense, Australian Research Council
d-blink: Distributed end-to-end Bayesian entity resolution
NG Marchant, A Kaplan, DN Elazar, BIP Rubinstein, RC Steorts
Journal of Computational and Graphical Statistics 30 (2), 406-421, 2021
Zahteve: US National Science Foundation, Australian Research Council
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Z Huang, NG Marchant, K Lucas, L Bauer, O Ohrimenko, BIP Rubinstein
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023
Zahteve: US Department of Defense
Principled graph matching algorithms for integrating multiple data sources
D Zhang, BIP Rubinstein, J Gemmell
IEEE Transactions on Knowledge and Data Engineering 27 (10), 2784-2796, 2015
Zahteve: Australian Research Council
Fast trajectory clustering using Hashing methods
I Sanchez, ZMM Aye, BIP Rubinstein, K Ramamohanarao
2016 International Joint Conference on Neural Networks (IJCNN), 3689-3696, 2016
Zahteve: Australian Research Council
E-storm: Replication-based state management in distributed stream processing systems
X Liu, A Harwood, S Karunasekera, B Rubinstein, R Buyya
2017 46th international conference on parallel processing (ICPP), 571-580, 2017
Zahteve: Australian Research Council
HMAB: self-driving hierarchy of bandits for integrated physical database design tuning
RM Perera, B Oetomo, BIP Rubinstein, R Borovica-Gajic
Proceedings of the VLDB Endowment 16 (2), 216-229, 2022
Zahteve: Australian Research Council
Differentially-Private Two-Party Egocentric Betweenness Centrality
L Roohi, BIP Rubinstein, V Teague
2019 IEEE Conference on Computer Communications, INFOCOM 2019, 2019
Zahteve: Australian Research Council
Early identification of an impending rockslide location via a spatially-aided gaussian mixture model
S Zhou, H Bondell, A Tordesillas, BIP Rubinstein, J Bailey
The Annals of Applied Statistics 14 (2), 977-992, 2020
Zahteve: US Department of Defense
Histogramming privately ever after: Differentially-private data-dependent error bound optimisation
M Fanaeepour, BIP Rubinstein
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1204-1207, 2018
Zahteve: Australian Research Council
Double bubble, toil and trouble: enhancing certified robustness through transitivity
A Cullen, P Montague, S Liu, S Erfani, B Rubinstein
Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 19099-19112, 2022
Zahteve: Australian Research Council
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