Towards Robust Machine Learning

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Towards Robust Machine Learning

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Author : Ori Press
language : en
Publisher:
Release Date : 2025

Towards Robust Machine Learning written by Ori Press and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.

Robust Machine Learning Algorithms And Systems For Detection And Mitigation Of Adversarial Attacks And Anomalies

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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2019-08-22

Robust Machine Learning Algorithms And Systems For Detection And Mitigation Of Adversarial Attacks And Anomalies written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with Computers categories.

The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11â€"12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop.

Towards Robust Machine Learning For Health Applications

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Author : Lisa Eisenberg
language : en
Publisher:
Release Date : 2022

Towards Robust Machine Learning For Health Applications written by Lisa Eisenberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

A Machine Learning Approach To Robust Real World Planning

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Author : Gerald DeJong
language : en
Publisher:
Release Date : 1991

A Machine Learning Approach To Robust Real World Planning written by Gerald DeJong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Artificial intelligence categories.

The effects of the physical manipulator commands are imperfectly modeled. Nonetheless, GRASPER is increasingly able to effectively manipulate real-world objects. Empirical results confirm the theoretical claims."

Adversarial Robustness For Machine Learning

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Author : Pin-Yu Chen
language : en
Publisher: Academic Press
Release Date : 2022-08-20

Adversarial Robustness For Machine Learning written by Pin-Yu Chen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-20 with Computers categories.

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and verification. Sections cover adversarial attack, verification and defense, mainly focusing on image classification applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research. In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy machine learning. While machine learning (ML) algorithms have achieved remarkable performance in many applications, recent studies have demonstrated their lack of robustness against adversarial disturbance. The lack of robustness brings security concerns in ML models for real applications such as self-driving cars, robotics controls and healthcare systems. - Summarizes the whole field of adversarial robustness for Machine learning models - Provides a clearly explained, self-contained reference - Introduces formulations, algorithms and intuitions - Includes applications based on adversarial robustness

Towards Robust Deep Neural Networks

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Author : Andras Rozsa
language : en
Publisher:
Release Date : 2018

Towards Robust Deep Neural Networks written by Andras Rozsa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Machine learning categories.

One of the greatest technological advancements of the 21st century has been the rise of machine learning. This thriving field of research already has a great impact on our lives and, considering research topics and the latest advancements, will continue to rapidly grow. In the last few years, the most powerful machine learning models have managed to reach or even surpass human level performance on various challenging tasks, including object or face recognition in photographs. Although we are capable of designing and training machine learning models that perform extremely well, the intriguing discovery of adversarial examples challenges our understanding of these models and raises questions about their real-world applications. That is, vulnerable machine learning models misclassify examples that are indistinguishable from correctly classified examples by human observers. Furthermore, in many cases a variety of machine learning models having different architectures and/or trained on different subsets of training data misclassify the same adversarial example formed by an imperceptibly small perturbation. In this dissertation, we mainly focus on adversarial examples and closely related research areas such as quantifying the quality of adversarial examples in terms of human perception, proposing algorithms for generating adversarial examples, and analyzing the cross-model generalization properties of such examples. We further explore the robustness of facial attribute recognition and biometric face recognition systems to adversarial perturbations, and also investigate how to alleviate the intriguing properties of machine learning models.

Ijcai

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Author :
language : en
Publisher:
Release Date : 2007

Ijcai written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Artificial intelligence categories.

Machine Learning Algorithms

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Author : Fuwei Li
language : en
Publisher: Springer Nature
Release Date : 2022-11-14

Machine Learning Algorithms written by Fuwei Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-14 with Computers categories.

This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.

Twelfth Conference On Innovative Applications Of Artificial Intelligence

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Author : American Association for Artificial Intelligence
language : en
Publisher:
Release Date : 2000

Twelfth Conference On Innovative Applications Of Artificial Intelligence written by American Association for Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for AAAI Press.

Modeling And Simulation For Military Applications

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Author : William K. Schum
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2006

Modeling And Simulation For Military Applications written by William K. Schum and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.