Benjamin I. P. Rubinstein

Best Publications

• Adversarial machine learning

  Ling Huang;Anthony D. Joseph;Blaine Nelson;Benjamin I.P. Rubinstein

  1346
  Citations

• A Bayesian approach to discovering truth from conflicting sources for data integration

  Bo Zhao;Benjamin I. P. Rubinstein;Jim Gemmell;Jiawei Han

  438
  Citations

• ANTIDOTE: understanding and defending against poisoning of anomaly detectors

  Benjamin I.P. Rubinstein;Blaine Nelson;Ling Huang;Anthony D. Joseph

  407
  Citations

• Exploiting machine learning to subvert your spam filter

  Blaine Nelson;Marco Barreno;Fuching Jack Chi;Anthony D. Joseph

  377
  Citations

• Learning in a large function space: Privacy-preserving mechanisms for SVM learning

  Benjamin I. P. Rubinstein;Peter L. Bartlett;Ling Huang;Nina Taft

  288
  Citations

• Identifying at-risk students in massive open online courses

  Jiazhen He;James Bailey;Benjamin I. P. Rubinstein;Rui Zhang

  250
  Citations

• Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge

  Arvind Narayanan;Elaine Shi;Benjamin I. P. Rubinstein

  209
  Citations

• Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation

  Lawrence Lau;Yamuna Kankanige;Benjamin Rubinstein;Robert Jones

  169
  Citations

• Machine Learning in Network Anomaly Detection: A Survey

  Song Wang;Juan Fernando Balarezo;Sithamparanathan Kandeepan;Akram Al-Hourani

  139
  Citations

• Security Evaluation of Support Vector Machines in Adversarial Environments

  Battista Biggio;Igino Corona;Blaine Nelson;Benjamin I. P. Rubinstein

  135
  Citations

• Misleading Learners: Co-opting Your Spam Filter

  Blaine Nelson;Marco Barreno;Fuching Jack Chi;Anthony D. Joseph

  134
  Citations

• Query strategies for evading convex-inducing classifiers

  Blaine Nelson;Benjamin I. P. Rubinstein;Ling Huang;Anthony D. Joseph

  119
  Citations

• A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning

  Yi Han;Tansu Alpcan;Jeffrey Chan;Christopher Leckie

  109
  Citations

• Adaptive bidding for display advertising

  Arpita Ghosh;Benjamin I.P. Rubinstein;Sergei Vassilvitskii;Martin Zinkevich

  107
  Citations

• Robust and Private Bayesian Inference

  Unknown

  104
  Citations

• Evolving quantum circuits using genetic programming

  Unknown

  96
  Citations

• On the Differential Privacy of Bayesian Inference

  Zuhe Zhang;Benjamin Rubinstein;Christos Dimitrakakis

  71
  Citations

• Stealthy poisoning attacks on PCA-based anomaly detectors

  Benjamin I.P. Rubinstein;Blaine Nelson;Ling Huang;Anthony D. Joseph

  70
  Citations

• Adversarial Machine Learning

  Unknown

  69
  Citations

• Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

  Ruihan Zhang;Prashan Madumal;Tim Miller;Krista A. Ehinger

  56
  Citations