robust machine learning – Bücher zum Thema robust machine learning finden und kaufen

Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Springer Singapore
149.79 € · Hardcover

Distributed Machine Learning Trustworthy Machine Learning Reliable Machine Learning Safe Machine Learning Machine Learning safety Robust Federated Learning Robust Distributed Optimization Byzantine Resilience Byzantine Fault Tolerance in Learning

Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure...

Robust Machine Learning

Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Springer Singapore
139.09 € · eBook

Distributed Machine Learning Trustworthy Machine Learning Reliable Machine Learning Safe Machine Learning Machine Learning safety Robust Federated Learning Robust Distributed Optimization Byzantine Resilience Byzantine Fault Tolerance in Learning

Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure...

Robust Machine Learning

Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Springer Singapore
149.79 € · Paperback

Distributed Machine Learning Trustworthy Machine Learning Reliable Machine Learning Safe Machine Learning Machine Learning safety Robust Federated Learning Robust Distributed Optimization Byzantine Resilience Byzantine Fault Tolerance in Learning

Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure...

Robust AI: Security and Privacy Issues in Machine Learning

Nandish Chattopadhyay, Anupam Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
Springer Singapore
213.99 € · Hardcover

Watermarking Neural Networks Robust Federated Learning AI Security Robust Machine Learning Adversarial Attacks And Defences Protecting Privacy of Training Data Protecting IP of Trained Models Efficient Decision-based Adversarial Attacks Pre-Processing based Defenses Patch-based real-world adversarial attacks

This book studies in detail the robustness of machine learning (ML) algorithms involved in dealing with vulnerabilities where the errors or malfunctions are both intentional and malicious, therefore being associated with a specific attack model. Reliability is key to the wider adoption of machine le...

Elliptically Symmetric Distributions in Signal Processing and Machine Learning

Springer International Publishing
192.59 € · Hardcover

Graph Learning Linear Shrinkage Missing Data Robust Statistics Elliptical Distribution Information Geometry Statistical Signal Processing Robust Clustering Subspace-based Algorithms

This book constitutes a review of recent developments in the theory and practical exploitation of the elliptical model for measured data in both classical and emerging areas of signal processing. It develops techniques usable in (among other areas): graph learning, robust clustering, linear shrinkag...

Trojan Code: Adversarial Machine Learning and Secure AI Systems

Kassem Kallas
Springer International Publishing
192.59 € · Hardcover

Artificial Intelligence Security Adversarial Machine Learning Backdoor Attacks Data Poisoning Model Theft Neural Network Watermarking Intellectual Property Protection for AI Robust Machine Learning AI Trustworthiness Secure AI Systems Model Verification and Validation Adversarial Defense Strategies Cybersecurity for AI AI Governance AI Risk Assessment

This book provides a comprehensive and accessible guide to the rapidly growing field of AI security, addressing the threats, vulnerabilities, and defensive strategies that shape modern machine-learning systems. The book examines how adversaries exploit poisoned data, hidden triggers, model thef...

Robust Computer Vision

N. Sebe, M.S. Lew
Springer Netherland
106.99 € · Hardcover

Active contour Bayesian network Hidden Markov Model Stereo Textur algorithms classification cognition computer vision database emotion emotion recognition learning machine learning perception

From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov m...

Machine Learning and Soft Computing

Springer Singapore
106.99 € · Paperback

Machine Learning Artificial Intelligence Computer Vision Image Enhancement Image Segmentation Feature Extraction Pattern Recognition Intelligent Information Processing Decision Optimization Data Mining Network Security Information Security Control Systems Robust Control Methods Intelligent Systems Design

This volume constitutes the refereed proceedings of 10th International Conference on Machine Learning and Soft Computing, ICMLSC 2026, held in Osaka, Japan during February 4–6, 2026. The 54 full papers included in thisbook were carefully reviewed and selected from 132 submissions. They were organi...