Backdoor Attacks Against Learning Based Algorithms

Download Backdoor Attacks Against Learning Based Algorithms full books in PDF, epub, and Kindle. Read online free Backdoor Attacks Against Learning Based Algorithms ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Backdoor Attacks against Learning-Based Algorithms

Backdoor Attacks against Learning-Based Algorithms
Author :
Publisher : Springer Nature
Total Pages : 161
Release :
ISBN-10 : 9783031573897
ISBN-13 : 3031573897
Rating : 4/5 (897 Downloads)

Book Synopsis Backdoor Attacks against Learning-Based Algorithms by : Shaofeng Li

Download or read book Backdoor Attacks against Learning-Based Algorithms written by Shaofeng Li and published by Springer Nature. This book was released on with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Backdoor Attacks against Learning-Based Algorithms Related Books

Backdoor Attacks against Learning-Based Algorithms
Language: en
Pages: 161
Authors: Shaofeng Li
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Towards Hidden Backdoor Attacks on Natural Language Processing Models
Language: en
Pages:
Authors: Saquib Irtiza
Categories: Computer algorithms
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

Over the years, machine learning techniques have been used in a wide variety of security sensitive applications due to the high reliability and accuracy of its
Attacks, Defenses and Testing for Deep Learning
Language: en
Pages: 413
Authors: Jinyin Chen
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Cryptology and Network Security
Language: en
Pages: 634
Authors: Stephan Krenn
Categories: Computers
Type: BOOK - Published: 2020-12-09 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 19th International Conference on Cryptology and Network Security, CANS 2020, held in Vienna, Austria, in D
Towards Machine Learning Models Robust to Adversarial Examples and Backdoor Attacks
Language: en
Pages: 0
Authors: Aleksandar Makelov
Categories:
Type: BOOK - Published: 2022 - Publisher:

DOWNLOAD EBOOK

In the past decade, machine learning spectacularly succeeded on many challenging benchmarks. However, are our machine learning models ready to leave this lab se