Machine Learning Algorithms : Adversarial Robustness in Signal Processing

✍ Scribed by Fuwei Li; Lifeng Lai; Shuguang Cui

Publisher: Springer International Publishing
Tongue: English
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

M L Algorithms (2022) [Li et al] [9783031163753]

📜 SIMILAR VOLUMES

Machine Learning Algorithms: Adversarial

📁 Machine Learning Algorithms: Adversarial Robustness in Signal Processing

✍ Fuwei Li, Lifeng Lai, Shuguang Cui 📂 Library 📅 2022 🏛 Springer 🌐 English

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 proc

Adversarial Robustness for Machine Learn

📁 Adversarial Robustness for Machine Learning

✍ Pin-Yu Chen, Cho-Jui Hsieh 📂 Library 📅 2022 🏛 Academic Press 🌐 English

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 ar

Adversarial Robustness for Machine Learn

📁 Adversarial Robustness for Machine Learning

✍ Chen, Pin-Yu;Hsieh, Cho-Jui;; Cho-Jui Hsieh 📂 Library 📅 2022 🏛 Elsevier Science & Technology 🌐 English

Machine Learning Algorithms for Signal a

📁 Machine Learning Algorithms for Signal and Image Processing

✍ Suman Lata Tripathi, Deepika Ghai, Sobhit Saxena, Manash Chanda, Mamoun Alazab 📂 Library 📅 2022 🏛 Wiley-IEEE Press 🌐 English

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processingMachine Learning Algorithms for Signal and Image Processing aids the reader in designing

Library in Signal Processing: Signal Pro

📁 Library in Signal Processing: Signal Processing Theory and Machine Learning

✍ Sergios Theodoridis (editor), Rama Chellappa (editor), Paulo S.R. Diniz (editor) 📂 Library 📅 2014 🏛 Academic Press 🌐 English

This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

Machine Learning for Signal Processing:

📁 Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

✍ Max A. Little 📂 Library 📅 2019 🏛 Oxford University Press, USA 🌐 English

This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a sol