Learning At The Back Door

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Learning At The Back Door

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Author : Charles A. Wedemeyer
language : en
Publisher: Univ of Wisconsin Press
Release Date : 1981

Learning At The Back Door written by Charles A. Wedemeyer and has been published by Univ of Wisconsin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Education categories.

Wedemeyer stresses that learning is a natural idiosyncratic, and continually renewable human trait and survival resource. It is not dependent upon teaching, schooling, or special environments, although--properly used--these resources enhance learning. There is a powerful subculture of independent learners who are responsible for much of the real progress that has been made in most areas on endeavor.

Learning At The Back Door

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Author : Charles A. Wedemeyer
language : en
Publisher: IAP
Release Date : 2010-06-01

Learning At The Back Door written by Charles A. Wedemeyer and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-01 with Education categories.

Wedemeyer stresses that learning is a natural idiosyncratic, and continually renewable human trait and survival resource. It is not dependent upon teaching, schooling, or special environments, although-properly used-these resources enhance learning. There is a powerful subculture of independent learners who are responsible for much of the real progress that has been made in most areas on endeavor. This book attempts to explain this kind of learning and relate it to schooling, suggesting ways in which all learning-whether traditional or non-traditional-can be encouraged and improved through new kinds of educational institutions and processes.

Backdoor Attacks Against Learning Based Algorithms

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Author : Shaofeng Li
language : en
Publisher: Springer Nature
Release Date : 2024-05-29

Backdoor Attacks Against Learning Based Algorithms written by Shaofeng 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 2024-05-29 with Computers categories.

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 platforms for training, or directly calling models provided by third parties. Due to the enormous threat that backdoor attacks pose to model supply chain security, they have received widespread attention from academia and industry. This book focuses on exploiting backdoor attacks in the three types of DNN applications, which are image classification, natural language processing, and federated learning. Based on the observation that DNN models are vulnerable to small perturbations, this book demonstrates that steganography and regularization can be adopted to enhance the invisibility of backdoor triggers. Based on image similarity measurement, this book presents two metrics to quantitatively measure the invisibility of backdoor triggers. The invisible trigger design scheme introduced in this book achieves a balance between the invisibility and the effectiveness of backdoor attacks. In the natural language processing domain, it is difficult to design and insert a general backdoor in a manner imperceptible to humans. Any corruption to the textual data (e.g., misspelled words or randomly inserted trigger words/sentences) must retain context-awareness and readability to human inspectors. This book introduces two novel hidden backdoor attacks, targeting three major natural language processing tasks, including toxic comment detection, neural machine translation, and question answering, depending on whether the targeted NLP platform accepts raw Unicode characters. The emerged distributed training framework, i.e., federated learning, has advantages in preserving users' privacy. It has been widely used in electronic medical applications, however, it also faced threats derived from backdoor attacks. This book presents a novel backdoor detection framework in FL-based e-Health systems. We hope this book can provide insightful lights on understanding the backdoor attacks in different types of learning-based algorithms, including computer vision, natural language processing, and federated learning. The systematic principle in this book also offers valuable guidance on the defense of backdoor attacks against future learning-based algorithms.

Adversarial Learning And Secure Ai

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Author : David J. Miller
language : en
Publisher: Cambridge University Press
Release Date : 2023-08-31

Adversarial Learning And Secure Ai written by David J. Miller and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.

Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges. Online resources include lecture slides and image files for instructors, and software for early course projects for students.

The Back Door To Your Teen S Heart Learning What They Need And Helping Them Find It

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Author : Melissa Trevathan
language : en
Publisher: Booksurge Publishing
Release Date : 2007-06

The Back Door To Your Teen S Heart Learning What They Need And Helping Them Find It written by Melissa Trevathan and has been published by Booksurge Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06 with Family & Relationships categories.

To the degree that kids can predict you, they will dismiss you. And, most likely, any of us who have ever lived with, taught, counseled, and loved adolescents have felt the sting of dismissal. It feels like everything we try bounces off the shell these kids develop around 10-12 years of age. Melissa Trevathan and Sissy Goff, both counselors with a combined 60 years of working with kids, lead us on a journey into the hearts of these adolescents. With laughter, Biblical truths, and a simple, but direct honesty, they help us walk through the back door and back into the lives of these kids we love.

Distance Education

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Author : David Sewart
language : en
Publisher: Routledge
Release Date : 2020-07-24

Distance Education written by David Sewart and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-24 with Education categories.

Distance education, for long the Cinderella of the educational spectrum, had emerged in the 1970s and early 1980s as a valued component of many national educational systems in both developed and developing countries. The foundation of the Open Universities, developments in communications technology and in audio-, video- and computer-based learning, a new sophistication in the design of print-based materials and better support systems for the student learning at a distance had all contributed to the availability and quality of distance education programmes. Originally published in 1988, this book chronicles this great change in distance education. It presents the best writings on the subject published during the previous ten years. The articles selected for this volume provided a new scholarly basis for the theory and practice of distance education. The editors have brought together contributions from many countries and present authoritative introductions to each of the nine sections. This book provided those in both developed and developing countries with a guideline to one of the most rapidly expanding areas of education at the time.

Neural Information Processing

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Author : Mohammad Tanveer
language : en
Publisher: Springer Nature
Release Date : 2023-04-14

Neural Information Processing written by Mohammad Tanveer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-14 with Computers categories.

The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Computer Vision Eccv 2024

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Author : Aleš Leonardis
language : en
Publisher: Springer Nature
Release Date : 2024-11-20

Computer Vision Eccv 2024 written by Aleš Leonardis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Computers categories.

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

Ubiquitous Security

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Author : Guojun Wang
language : en
Publisher: Springer Nature
Release Date : 2022-02-25

Ubiquitous Security written by Guojun Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.

This volume constitutes selected papers presented at the First Inernational Conference on Ubiquitous Security, UbiSec 2021, held in Guangzhou, China, in December 2021. The presented 26 full papers and 2 short papers were thoroughly reviewed and selected from the 96 submissions. They focus on security, privacy and anonymity aspects in cyberspace, physical world, and social networks.

Man Machine Speech Communication

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Author : Zhenhua Ling
language : en
Publisher: Springer Nature
Release Date : 2024-12-26

Man Machine Speech Communication written by Zhenhua Ling and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.

This book constitutes the refereed proceedings of the 19th National Conference on Man-Machine Speech Communication, NCMMSC 2024, held in Urumqi, China, during August 15–18, 2024. The 33 papers included in these proceedings were carefully reviewed and selected from 205 submissions. They deal with topics such as speech technology and large language models, audio processing, prosody modeling and dialogue systems. Key areas include speech recognition, speaker identification and verification, speech/sound/music synthesis, speech enhancement, sound event detection, multimodal systems, conversational AI, phonetics, phonology and prosody analysis, auditory processing, and acoustic scene modeling etc.