Results 11 to 20 of about 217,749 (219)
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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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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Robust Operation of Hybrid Solar–Wind Power Plant with Battery Energy Storage System
Energies, 2021 The intraday continuous electricity market (ICM) is a potential target market for the Dispatchable Hybrid Renewable solar–wind–battery energy storage system (BESS) power plant (DHRB). However, the uncertainty of the electricity price jeopardizes economic
Mostafa Bakhtvar, Amer Al-Hinai
doaj +1 more source
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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Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery [PDF]
IEEE Signal Processing Magazine, 2018 To appear, IEEE Signal Processing Magazine, July ...
Namrata Vaswani +3 more
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Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis
Entropy, 2020 Minimum density power divergence estimation provides a general framework for robust statistics, depending on a parameter α , which determines the robustness properties of the method. The usual estimation method is numerical minimization of the power
Marco Riani +3 more
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A Review of the Numerical Investigations of Jet-In-Hot-Coflow Burner With Reactor-Based Models
Frontiers in Mechanical Engineering, 2020 Moderate or Intense Low-oxygen Dilution (MILD) combustion is considered as one of the most promising novel combustion technologies, as it ensures high efficiency and very low emissions (NOx and CO).
Zhiyi Li +3 more
doaj +1 more source
Frontiers in Energy Research, 2020 Ammonia/hydrogen-fueled combustion represents a very promising solution for the future energy scenario. This study aims to shed light and understand the behavior of ammonia/hydrogen blends under flameless conditions.
Marco Ferrarotti +9 more
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To be Robust and to be Fair: Aligning Fairness with Robustness
CoRR, 2023 Adversarial training has been shown to be reliable in improving robustness against adversarial samples. However, the problem of adversarial training in terms of fairness has not yet been properly studied, and the relationship between fairness and accuracy attack still remains unclear. Can we simultaneously improve robustness w.r.t.
Junyi Chai 0004, Xiaoqian Wang 0001
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