Results 21 to 30 of about 107,198 (316)
Sistemas de manejo, preinstalación, instalación y resolución de audiencias en el Ecuador
Revista Científica Ciencia y Tecnología, 2019 Los modelos adversariales fueron instaurados en el Ecuador en todas sus materias. Un modelo de justicia basado en audiencias requiere a un Juez preparado no solo para conducir de forma adecuada una audiencia, sino también, una preparación para poder ...
Miguel Eduardo Costaín Vásquez +1 more
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CoRR, 2023 ICLR 2024 Camera Ready.(19 pages) with the source code at https://github.com/JinXins/Adversarial ...
Huafeng Qin +4 more
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Applied Sciences, 2023 While Machine Learning has become the holy grail of modern-day computing, it has many security flaws that have yet to be addressed and resolved. Adversarial attacks are one of these security flaws, in which an attacker appends noise to data samples that ...
Hiskias Dingeto, Juntae Kim
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CoRR, 2022 Planning algorithms are used in computational systems to direct autonomous behavior. In a canonical application, for example, planning for autonomous vehicles is used to automate the static or continuous planning towards performance, resource management, or functional goals (e.g., arriving at the destination, managing fuel fuel consumption).
Valentin Vie +6 more
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Recent Advances in Adversarial Training for Adversarial Robustness [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Adversarial training is one of the most effective approaches for deep learning models to defend against adversarial examples. Unlike other defense strategies, adversarial training aims to enhance the robustness of models intrinsically. During the past few years, adversarial training has been studied and discussed from various aspects, which deserves ...
Tao Bai +4 more
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On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks [PDF]
, 2023 While the literature on security attacks and defense of Machine Learning (ML) systems mostly focuses on unrealistic adversarial examples, recent research has raised concern about the under-explored field of realistic adversarial attacks and their ...
Simonetto, Thibault +6 more
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Clustering Approach for Detecting Multiple Types of Adversarial Examples
Sensors, 2022 With intentional feature perturbations to a deep learning model, the adversary generates an adversarial example to deceive the deep learning model.
Seok-Hwan Choi +3 more
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Сибирское юридическое обозрение, 2020 The article gives a brief historical description of the role of the court in the collection of evidence. The arguments in favor of strengthening the role of the court for the recovery of evidence are presented. In particular, the Author substantiates the
A. D. Dzumatov
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Applied Sciences, 2023 In this paper, we propose an advanced method for adversarial training that focuses on leveraging the underlying structure of adversarial perturbation distributions. Unlike conventional adversarial training techniques that consider adversarial examples in
Bader Rasheed +2 more
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Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training
IEEE Access, 2016 It is of significant importance for any classification and recognition system, which claims near or better than human performance to be immune to small perturbations in the dataset.
Sheikh Waqas Akhtar +6 more
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