A Bayesian approach to discovering truth from conflicting sources for data integration von Zhao, Bo, Rubinstein, Benjamin I. P., Gemmell, Jim, Han, Jiawei

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Differential Privacy for Bayesian Inference through Posterior Sampling von Dimitrakakis, Christos, Nelson, Blaine, Zhang, Zuhe, Mitrokotsa, Aikateirni, Rubinstein, Benjamin I P

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To Act or Not to Act: An Adversarial Game for Securing Vehicle Platoons von Sun, Guoxin, Alpcan, Tansu, Rubinstein, Benjamin I. P., Camtepe, Seyit

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No DBA? No Regret! Multi-Armed Bandits for Index Tuning of Analytical and HTAP Workloads With Provable Guarantees von Perera, R. Malinga, Oetomo, Bastian, Rubinstein, Benjamin I. P., Borovica-Gajic, Renata

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A Graph Symmetrization Bound on Channel Information Leakage Under Blowfish Privacy von Edwards, Tobias, Rubinstein, Benjamin I. P., Zhang, Zuhe, Zhou, Sanming

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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation von Lau, Lawrence, Kankanige, Yamuna, Rubinstein, Benjamin, Jones, Robert, Christophi, Christopher, Muralidharan, Vijayaragavan, Bailey, James

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A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning von Yi Han, Alpcan, Tansu, Chan, Jeffrey, Leckie, Christopher, Rubinstein, Benjamin I. P.

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Cutting to the chase with warm-start contextual bandits von Oetomo, Bastian, Perera, R. Malinga, Borovica-Gajic, Renata, Rubinstein, Benjamin I. P.

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Tracking, tracing, trust: contemplating mitigating the impact of COVID‐19 with technological interventions von Leins, Kobi, Culnane, Christopher, Rubinstein, Benjamin IP

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Principled Graph Matching Algorithms for Integrating Multiple Data Sources von Duo Zhang, Rubinstein, Benjamin I. P., Gemmell, Jim

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In search of an entity resolution OASIS: optimal asymptotic sequential importance sampling von Marchant, Neil G., Rubinstein, Benjamin I. P.

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Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction von Cullen, Andrew C., Rubinstein, Benjamin I. P., Kandeepan, Sithamparanathan, Flower, Barry, Leong, Philip H. W.

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Tracking, tracing, trust: contemplating mitigating the impact of COVID‐19 through technological interventions von Culnane, Christopher, Leins, Kobi, Rubinstein, Benjamin IP

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Measuring the impact of dysphonia on quality of life using health state preferences von Naunheim, Matthew R., Goldberg, Leanne, Dai, Jennifer B., Rubinstein, Benjamin J., Courey, Mark S.

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Tracheoesophageal Fistula as a Complication of Prolonged Ventilation in COVID-19: Description of Reconstruction and Review of the Literature von Walker, Kendra N., Carlson, Kevin J., Rubinstein, Benjamin J., Sinacori, John T., Mark, Jonathan R.

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Differentially private counting of users’ spatial regions von Fanaeepour, Maryam, Rubinstein, Benjamin I. P.

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Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors von Marchant, Neil G, Rubinstein, Benjamin I P, Steorts, Rebecca C

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Machine Learning in Network Anomaly Detection: A Survey von Wang, Song, Balarezo, Juan, Kandeepan, Sithamparanathan, Al-Hourani, Akram, Gomez, Karina, Rubinstein, Ben

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Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems von Jin, Jiankai, McMurtry, Eleanor, Rubinstein, Benjamin I. P., Ohrimenko, Olga

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EARLY IDENTIFICATION OF AN IMPENDING ROCKSLIDE LOCATION VIA A SPATIALLY-AIDED GAUSSIAN MIXTURE MODEL von Zhou, Shuo, Bondell, Howard, Tordesillas, Antoinette, Rubinstein, Benjamin I. P., Bailey, James

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