Benjamin I. P. Rubinstein
Orcid: 0000-0002-2947-6980Affiliations:
- University of Melbourne, School of Computing and Information Systems, Australia
- Microsoft Research (former)
- University of California Berkeley, CA, USA (PhD 2010)
According to our database1,
Benjamin I. P. Rubinstein
authored at least 137 papers
between 2001 and 2024.
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Bibliography
2024
IEEE Trans. Inf. Forensics Secur., 2024
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks.
Trans. Assoc. Comput. Linguistics, 2024
CoRR, 2024
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.
CoRR, 2024
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024
2023
No DBA? No Regret! Multi-Armed Bandits for Index Tuning of Analytical and HTAP Workloads With Provable Guarantees.
IEEE Trans. Knowl. Data Eng., December, 2023
Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction.
Artif. Intell. Rev., October, 2023
Knowl. Inf. Syst., September, 2023
CoRR, 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023
Beyond the Coverage Plateau: A Comprehensive Study of Fuzz Blockers (Registered Report).
Proceedings of the 2nd International Fuzzing Workshop, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
An Adversarial Strategic Game for Machine Learning as a Service using System Features.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Inf. Theory, 2022
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning.
Proc. VLDB Endow., 2022
State Selection Algorithms and Their Impact on The Performance of Stateful Network Protocol Fuzzing.
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
Securing Cyber-Physical Systems: Physics-Enhanced Adversarial Learning for Autonomous Platoons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Comput. Graph. Stat., 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.
CoRR, 2021
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors.
CoRR, 2020
A general framework for label-efficient online evaluation with asymptotic guarantees.
CoRR, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Fundamental Approaches to Software Engineering, 2020
Proceedings of the Algorithmic Learning Theory, 2020
Proceedings of the Databases Theory and Applications, 2020
2019
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.
CoRR, 2019
CoRR, 2019
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Ind. Informatics, 2018
CoRR, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018
Histogramming Privately Ever After: Differentially-Private Data-Dependent Error Bound Optimisation.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling.
Proc. VLDB Endow., 2017
J. Mach. Learn. Res., 2017
Vulnerabilities in the use of similarity tables in combination with pseudonymisation to preserve data privacy in the UK Office for National Statistics' Privacy-Preserving Record Linkage.
CoRR, 2017
CoRR, 2017
E-Storm: Replication-Based State Management in Distributed Stream Processing Systems.
Proceedings of the 46th International Conference on Parallel Processing, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning.
IEEE Trans. Inf. Forensics Secur., 2016
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs.
CoRR, 2016
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
GeoInformatica, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
CoRR, 2014
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
2013
Proceedings of the Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, 2013
2012
On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk Minimizers.
IEEE Trans. Inf. Theory, 2012
IEEE Trans. Dependable Secur. Comput., 2012
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration.
Proc. VLDB Endow., 2012
J. Priv. Confidentiality, 2012
Scaling multiple-source entity resolution using statistically efficient transfer learning.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the ACM Conference on Computer and Communications Security, 2012
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011
2010
PhD thesis, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Corrigendum to "Shifting: One-inclusion mistake bounds and sample compression" [J. Comput. System Sci 75 (1) (2009) 37-59].
J. Comput. Syst. Sci., 2010
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010
2009
SIGMETRICS Perform. Evaluation Rev., 2009
J. Comput. Syst. Sci., 2009
Proceedings of the 18th International Conference on World Wide Web, 2009
Proceedings of the 9th ACM SIGCOMM Internet Measurement Conference, IMC 2009, Chicago, 2009
2008
Proceedings of the Recent Advances in Intrusion Detection, 11th International Symposium, 2008
Proceedings of the First USENIX Workshop on Large-Scale Exploits and Emergent Threats, 2008
Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression.
Proceedings of the 21st Annual Conference on Learning Theory, 2008
Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2003
2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001