Results 11 to 20 of about 1,259,858 (300)
Robustness analysis of magnetic torquer controlled spacecraft attitude dynamics [PDF]
, 2009 This paper describes a systematic approach to the robustness analysis of linear periodically time-varying (LPTV) systems. The method uses the technique known as Lifting to transform the original time-varying uncertain system into linear fractional ...
Postlethwaite, I., Kim, J., Bates, D.G.
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On the Adversarial Robustness of Robust Estimators [PDF]
IEEE Transactions on Information Theory, 2020 Motivated by recent data analytics applications, we study the adversarial robustness of robust estimators. Instead of assuming that only a fraction of the data points are outliers as considered in the classic robust estimation setup, in this paper, we consider an adversarial setup in which an attacker can observe the whole dataset and can modify all ...
Lifeng Lai, Erhan Bayraktar
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A robust robust optimization result [PDF]
Operations Research Letters, 2012 We study the loss in objective value when an inaccurate objective is optimized instead of the true one, and show that "on average" this loss is very small, for an arbitrary compact feasible region.
Martina Gancarova, Michael J. Todd
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Robustness and generalization [PDF]
Machine Learning, 2011 We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the testing error is close to the training error. This provides a novel approach, different from the complexity or stability arguments, to study generalization of learning algorithms.
Huan Xu 0001, Shie Mannor
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Fuzzy Sets and Systems, 2013 In decision analysis and especially in multiple criteria decision analysis, several non additive integrals have been introduced in the last years. Among them, we remember the Choquet integral, the Shilkret integral and the Sugeno integral. In the context of multiple criteria decision analysis, these integrals are used to aggregate the evaluations of ...
GRECO, Salvatore, Rindone F.
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Journal of Cryptology, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdalla, Michel +2 more
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Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
IEEE Transactions on Information Forensics and Security, 2023 Recently, it has been widely known that deep neural networks are highly vulnerable and easily broken by adversarial attacks. To mitigate the adversarial vulnerability, many defense algorithms have been proposed. Recently, to improve adversarial robustness, many works try to enhance feature representation by imposing more direct supervision on the ...
Hong Joo Lee 0001, Yong Man Ro
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, 2022 This report summarizes how to systematically analyze a software architecture with respect to a quality attribute requirement for robustness. The report introduces the quality attribute of robustness and common forms of robustness requirements for ...
Philip Bianco (3891784) +3 more
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Improving Robustness of TCM-based Robust Steganography with Variable Robustness
CoRR, 2022 15 pages, 5 figures, submitted to IWDW 2020: 19th International Workshop on Digital-forensics and ...
Jimin Zhang, Xianfeng Zhao, Xiaolei He
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The robustness of robust implementation
Journal of Economic Theory, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moritz Meyer-ter-Vehn, Stephen Morris
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