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Benjamin I. P. Rubinstein

University of Melbourne
Microsoft
University of California, Berkeley

184

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4083

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Measuring and Mitigating Name Biases in Neural Machine Translation.

2022 | ACL (1)
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Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness.

2022 CoRR
- Olga Ohrimenko
- Benjamin I. P. Rubinstein
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Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

2021 IJCAI | International Joint Conference on Artificial Intelligence
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Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors.

2021 AAAI | National Conference on Artificial Intelligence
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TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.

2021 arXiv: Learning
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Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning

2021 ACL | Meeting of the Association for Computational Linguistics
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TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

2021 NeurIPS | Neural Information Processing Systems
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A Communication Security Game on Switched Systems for Autonomous Vehicle Platoons

2021 arXiv: Computer Science and Game Theory
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Mitigating Data Poisoning in Text Classification with Differential Privacy

2021 EMNLP | Empirical Methods in Natural Language Processing
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DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees

2021 ICDE | International Conference on Data Engineering
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