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Artificial Intelligence

Data and Model Safety

de Yu-Gang Jiang, Xingjun Ma, Zuxuan Wu ...

Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage ... Leer más

$202.99 USD

Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage
... Leer más

Representation Learning for Natural Language Processing

Edición de Zhiyuan Liu, Yankai Lin, Maosong Sun ...

Series series Computer Science (R0)
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training ... Leer más

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This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training
... Leer más
Entity Alignment

Concepts, Recent Advances and Novel Approaches

de Xiang Zhao, Weixin Zeng, Jiuyang Tang ...

Series series Computer Science (R0)
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a ... Leer más

Gratis

This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a
... Leer más
Foundations of Semantic Communication Networks

Edición de Walid Saad, Christina Chaccour, Christo Kurisummoottil Thomas, Merouane Debbah ...

Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner. The traditional incremental approach to network design is ... Leer más

$111.00 USD

Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner. The traditional incremental approach to network design is
... Leer más
Introduction to Transfer Learning

Algorithms and Practice

de Jindong Wang, Yiqiang Chen ...

Series series Computer Science (R0)
Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain ... Leer más

$49.99 USD

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain
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GANs in Action

Deep learning with Generative Adversarial Networks

de Vladimir Bok, Jakub Langr ...

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the ... Leer más

$49.99 USD

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the
... Leer más
Adversarial Robustness for Machine Learning

de Pin-Yu Chen, Cho-Jui Hsieh ...

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 ... Leer más

$98.99 USD

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
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Computer Security – ESORICS 2025

30th European Symposium on Research in Computer Security, Toulouse, France, September 22–24, 2025, Proceedings, Part I

Edición de Vincent Nicomette, Abdelmalek Benzekri, Nora Boulahia-Cuppens, Jaideep Vaidya ...

Series Libro 1 - Springer Nature Proceedings Computer Science
This four-volume set LNCS 16053-16056 constitutes the refereed proceedings of the 30th European Symposium on Research in Computer Security, ESORICS 2025, held in Toulouse, France, during September 22–24, 2025.The 100 full papers presented in these proceedings were carefully reviewed and selected from 600 submissions. They were organized in topical sections as follows:AI and Data-Centric Security, ... Leer más

$71.99 USD

This four-volume set LNCS 16053-16056 constitutes the refereed proceedings of the 30th European Symposium on Research in Computer Security, ESORICS 2025, held in Toulouse, France, during September 22–24, 2025.The 100 full papers presented in these proceedings were carefully reviewed and selected from 600 submissions. They were organized in topical sections as follows:AI and Data-Centric Security,
... Leer más
Pattern Recognition and Computer Vision

7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part I

Edición de Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu ...

Series Libro 1 - Springer Nature Proceedings Computer Science
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024.The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, ... Leer más

$89.99 USD

This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024.The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision,
... Leer más
Computer Engineering Machine Learning and Neural Networks

A Computer Engineering Perspective

de Yiran Chen, Hai Li, Huanrui Yang ...

Series series Engineering (R0)
This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely used in designing, training, and deploying of these models and discuss their applicability under various contexts. Coverage begins with the basic ... Leer más

$71.99 USD

This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely used in designing, training, and deploying of these models and discuss their applicability under various contexts. Coverage begins with the basic
... Leer más
Pattern Recognition

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part III

Edición de Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal ...

Series Libro 3 - Springer Nature Proceedings Computer Science
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024.The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; ... Leer más

$80.99 USD

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024.The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition;
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Backdoor Attacks against Learning-Based Algorithms

de Shaofeng Li, Haojin Zhu, Wen Wu, Xuemin (Sherman) Shen ...

Series series Computer Science (R0)
This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party ... Leer más

$152.99 USD

This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party
... Leer más

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Artificial Intelligence

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Representation Learning for Natural Language Processing

Entity Alignment

Foundations of Semantic Communication Networks

Introduction to Transfer Learning

GANs in Action

Adversarial Robustness for Machine Learning

Computer Security – ESORICS 2025

Pattern Recognition and Computer Vision

Computer Engineering Machine Learning and Neural Networks

Pattern Recognition

Backdoor Attacks against Learning-Based Algorithms

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