Benjamin I. P. Rubinstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
31
Active years
2001–2026
Best venue rank
A*
Where they publish
- A*AAAI10 papers
- A*ICML5 papers
- A*CCS5 papers
- A*ACL4 papers
- A*EMNLP4 papers
- BIJCNN4 papers
- A*ICDM3 papers
- A*ICDE3 papers
- A*WWW3 papers
- A*SP2 papers
- A*IJCAI2 papers
- BALT2 papers
- BPAKDD2 papers
- AWACV1 paper
- A*ICLR1 paper
- A*CVPR1 paper
- ANAACL1 paper
- A*KDD1 paper
- AustralasianADC1 paper
- BFASE1 paper
- A*INFOCOM1 paper
- NationalISAIM1 paper
- BICPP1 paper
- ALAK1 paper
- ACIKM1 paper
- AFC1 paper
- AIMC1 paper
- A*COLT1 paper
- NationalNSDI1 paper
- ARAID1 paper
- BCEC1 paper
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Where is the Watermark? Interpretable Watermark Detection at the Block Level. | Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein |
| 2025 | ACL | TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. | Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2025 | ICLR | Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning. | Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein |
| 2025 | ICML | Position: Certified Robustness Does Not (Yet) Imply Model Security. | Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein |
| 2025 | ICML | One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy. | Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu |
| 2024 | CCS | Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget. | Jiankai Jin, Chitchanok Chuengsatiansup, Toby Murray, Benjamin I. P. Rubinstein, Yuval Yarom, Olga Ohrimenko |
| 2024 | CVPR | Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. | Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard O. Sinnott, Andrew Woods, Chris Bayliss, Krista A. Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti |
| 2024 | EMNLP | CERT-ED: Certifiably Robust Text Classification for Edit Distance. | Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein |
| 2024 | ICDM | Warm-Starting Contextual Bandits Under Latent Reward Scaling. | Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2024 | ICML | Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples. | Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein |
| 2024 | NAACL | Backdoor Attacks on Multilingual Machine Translation. | Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2024 | SP | It's Simplex! Disaggregating Measures to Improve Certified Robustness. | Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein |
| 2023 | AAAI | Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. | Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein |
| 2023 | EMNLP | Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. | Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | ICDE | Efficient Index Learning via Model Reuse and Fine-tuning. | Guanli Liu, Jianzhong Qi, Lars Kulik, Kazuya Soga, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2022 | AAAI | Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. | Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld |
| 2022 | ACL | Measuring and Mitigating Name Biases in Neural Machine Translation. | Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2022 | EMNLP | Foiling Training-Time Attacks on Neural Machine Translation Systems. | Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2022 | SP | Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems. | Jiankai Jin, Eleanor McMurtry, Benjamin I. P. Rubinstein, Olga Ohrimenko |
| 2021 | AAAI | Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors. | Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein |
| 2021 | ACL | As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | ACL | Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | EMNLP | Mitigating Data Poisoning in Text Classification with Differential Privacy. | Chang Xu, Jun Wang, Francisco Guzmn, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | ICDE | DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees. | R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic |
| 2021 | ICDM | Cutting to the Chase with Warm-Start Contextual Bandits. | Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein |
| 2021 | IJCAI | Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. | Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein |
| 2021 | KDD | Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance. | Neil G. Marchant, Benjamin I. P. Rubinstein |
| 2021 | WWW | A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. | Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmn, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2020 | ADC | Function Interpolation for Learned Index Structures. | Naufal Fikri Setiawan, Benjamin I. P. Rubinstein, Renata Borovica-Gajic |
| 2020 | ALT | Sampling Without Compromising Accuracy in Adaptive Data Analysis. | Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein |
| 2020 | FASE | Legion: Best-First Concolic Testing (Competition Contribution). | Dongge Liu, Gidon Ernst, Toby Murray, Benjamin I. P. Rubinstein |
| 2020 | IJCNN | Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. | Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani |
| 2020 | PAKDD | Assessing Centrality Without Knowing Connections. | Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague |
| 2019 | AAAI | Attacking Data Transforming Learners at Training Time. | Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein |
| 2019 | ICML | Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. | Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2019 | INFOCOM | Differentially-Private Two-Party Egocentric Betweenness Centrality. | Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague |
| 2019 | WWW | Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. | Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2018 | AAAI | Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks. | Yi Han, Benjamin I. P. Rubinstein |
| 2018 | ICDE | Histogramming Privately Ever After: Differentially-Private Data-Dependent Error Bound Optimisation. | Maryam Fanaeepour, Benjamin I. P. Rubinstein |
| 2018 | ISAIM | Sublinear-Time Adaptive Data Analysis. | Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein |
| 2018 | PAKDD | Fast Manifold Landmarking Using Locality-Sensitive Hashing. | Zay Maung Maung Aye, Benjamin I. P. Rubinstein, Kotagiri Ramamohanarao |
| 2017 | AAAI | The Bernstein Mechanism: Function Release under Differential Privacy. | Francesco Ald, Benjamin I. P. Rubinstein |
| 2017 | ICML | Pain-Free Random Differential Privacy with Sensitivity Sampling. | Benjamin I. P. Rubinstein, Francesco Ald |
| 2017 | ICPP | E-Storm: Replication-Based State Management in Distributed Stream Processing Systems. | Xunyun Liu, Aaron Harwood, Shanika Karunasekera, Benjamin I. P. Rubinstein, Rajkumar Buyya |
| 2016 | AAAI | MOOCs Meet Measurement Theory: A Topic-Modelling Approach. | Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan |
| 2016 | AAAI | On the Differential Privacy of Bayesian Inference. | Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis |
| 2016 | ICDM | Beyond Points and Paths: Counting Private Bodies. | Maryam Fanaeepour, Benjamin I. P. Rubinstein |
| 2016 | IJCNN | Large Scale Metric learning. | Zay Maung Maung Aye, Kotagiri Ramamohanarao, Benjamin I. P. Rubinstein |
| 2016 | IJCNN | Fast trajectory clustering using Hashing methods. | Ivn Snchez, Zay Maung Maung Aye, Benjamin I. P. Rubinstein, Kotagiri Ramamohanarao |
| 2016 | LAK | Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. | Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein |
| 2015 | AAAI | Identifying At-Risk Students in Massive Open Online Courses. | Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang |
| 2015 | AAAI | Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching. | Zhe Lim, Benjamin I. P. Rubinstein |
| 2014 | ALT | Robust and Private Bayesian Inference. | Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein |
| 2014 | CCS | Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security. | Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein |
| 2013 | IJCAI | On the challenges of balancing privacy and utility of open health data. | Christian Guttmann, Xingzhi Sun, Chaitanya Rao, Carlos Queiroz, Benjamin I. P. Rubinstein |
| 2012 | CCS | Fifth ACM workshop on artificial intelligence and security (AISec 2012). | Alvaro A. Crdenas, Blaine Nelson, Benjamin I. P. Rubinstein |
| 2012 | CIKM | Scaling multiple-source entity resolution using statistically efficient transfer learning. | Sahand Negahban, Benjamin I. P. Rubinstein, Jim Gemmell |
| 2011 | CCS | Adversarial machine learning. | Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar |
| 2011 | IJCNN | Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. | Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein |
| 2010 | FC | A Learning-Based Approach to Reactive Security. | Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett |
| 2009 | IMC | ANTIDOTE: understanding and defending against poisoning of anomaly detectors. | Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar |
| 2009 | WWW | Adaptive bidding for display advertising. | Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Vassilvitskii, Martin Zinkevich |
| 2008 | CCS | Open problems in the security of learning. | Marco Barreno, Peter L. Bartlett, Fuching Jack Chi, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, Udam Saini, J. Doug Tygar |
| 2008 | COLT | Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression. | J. Hyam Rubinstein, Benjamin I. P. Rubinstein |
| 2008 | NSDI | Exploiting Machine Learning to Subvert Your Spam Filter. | Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles Sutton, J. Doug Tygar, Kai Xia |
| 2008 | RAID | Evading Anomaly Detection through Variance Injection Attacks on PCA. | Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, J. Doug Tygar |
| 2001 | CEC | Evolving quantum circuits using genetic programming. | Benjamin I. P. Rubinstein |