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Strategic Mitigation Against Wireless Attacks on Autonomous Platoons.

G. Sun, T. Alpcan, B. Rubinstein, и S. Camtepe. ECML/PKDD (4), том 12978 из Lecture Notes in Computer Science, стр. 69-84. Springer, (2021)

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Dorothea Rubinstein

R Rubinstein

Barbara Rubinstein

Elisabeth Rubinstein

Eugen Rubinstein

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Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks.Y. Han, и B. Rubinstein. CoRR, (2017)Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.N. Marchant, B. Rubinstein, и S. Alfeld. AAAI, стр. 7691-7700. AAAI Press, (2022)Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression.J. Rubinstein, и B. Rubinstein. COLT, стр. 299-310. Omnipress, (2008)Sublinear-Time Adaptive Data Analysis.B. Fish, L. Reyzin, и B. Rubinstein. ISAIM, (2018)Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples.A. Cullen, S. Liu, P. Montague, S. Erfani, и B. Rubinstein. ICML, OpenReview.net, (2024)Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums.S. Milligan, J. He, J. Bailey, R. Zhang, и B. Rubinstein. LAK, стр. 546-547. ACM, (2016)E-Storm: Replication-Based State Management in Distributed Stream Processing Systems.X. Liu, A. Harwood, S. Karunasekera, B. Rubinstein, и R. Buyya. ICPP, стр. 571-580. IEEE Computer Society, (2017)Evading Anomaly Detection through Variance Injection Attacks on PCA.B. Rubinstein, B. Nelson, L. Huang, A. Joseph, S. hon Lau, N. Taft, и J. Tygar. RAID, том 5230 из Lecture Notes in Computer Science, стр. 394-395. Springer, (2008)Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge.A. Narayanan, E. Shi, и B. Rubinstein. IJCNN, стр. 1825-1834. IEEE, (2011)Securing Cyber-Physical Systems: Physics-Enhanced Adversarial Learning for Autonomous Platoons.G. Sun, T. Alpcan, B. Rubinstein, и S. Camtepe. ECML/PKDD (3), том 13715 из Lecture Notes in Computer Science, стр. 269-285. Springer, (2022)

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