Privacy-Preserving Machine Learning | A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

Name: Privacy-Preserving Machine Learning | A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
Author: Srinivasa Rao Aravilli
ISBN: 9781800564671

Srinivasa Rao Aravilli

Lingua: inglese

Editore: Packt Publishing, 2024

1800564678 / 9781800564671

Brossura
Nuovo

Visualizza tutti i dettagli

Da: preigu, Osnabrück, Germaniapreigu

Venditore con 5 stelle

Venditore AbeBooks dal 5 agosto 2024

Visualizza gli articoli di questo venditore

Brossura

Condizione: Nuovo

EUR 60,15

EUR 70,00 spedizione

Spedito da Germania a U.S.A.

Quantità: 5 disponibili

Aggiungi al carrello

Resi gratuiti per 30 giorni

Lista dei preferitiCrea un desiderata per articoli simili

Descrizione dell’articolo da parte del venditore

Codice articolo 129162167

Contatta il venditore per questo articolo

Segnala questo articolo

Titolo: Privacy-Preserving Machine Learning | A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
Autore: Srinivasa Rao Aravilli
Editore: Packt Publishing
Anno di pubblicazione: 2024
Condizione: Neu
Rilegatura: Taschenbuch
Lingua: inglese
ISBN 10: 1800564678
ISBN 13: 9781800564671
Peso dell'articolo: 748 grammi
Dimensioni: 235 x 191 x 22 mm
Cataloghi dei venditori: Bücher

Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches

Key Features

Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches
Develop and deploy privacy-preserving ML pipelines using open-source frameworks
Gain insights into confidential computing and its role in countering memory-based data attacks
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

– In an era of evolving privacy regulations, compliance is mandatory for every enterprise

– Machine learning engineers face the dual challenge of analyzing vast amounts of data for insights while protecting sensitive information

– This book addresses the complexities arising from large data volumes and the scarcity of in-depth privacy-preserving machine learning expertise, and covers a comprehensive range of topics from data privacy and machine learning privacy threats to real-world privacy-preserving cases

– As you progress, you’ll be guided through developing anti-money laundering solutions using federated learning and differential privacy

– Dedicated sections will explore data in-memory attacks and strategies for safeguarding data and ML models

– You’ll also explore the imperative nature of confidential computation and privacy-preserving machine learning benchmarks, as well as frontier research in the field

– Upon completion, you’ll possess a thorough understanding of privacy-preserving machine learning, equipping them to effectively shield data from real-world threats and attacks

What you will learn

Study data privacy, threats, and attacks across different machine learning phases
Explore Uber and Apple cases for applying differential privacy and enhancing data security
Discover IID and non-IID data sets as well as data categories
Use open-source tools for federated learning (FL) and explore FL algorithms and benchmarks
Understand secure multiparty computation with PSI for large data
Get up to speed with confidential computation and find out how it helps data in memory attacks

Who this book is for

– This comprehensive guide is for data scientists, machine learning engineers, and privacy engineers

– Prerequisites include a working knowledge of mathematics and basic familiarity with at least one ML framework (TensorFlow, PyTorch, or scikit-learn)

– Practical examples will help you elevate your expertise in privacy-preserving machine learning techniques

Introduction to Data Privacy, Privacy threats and breaches
Machine Learning Phases and privacy threats/attacks in each phase
Overview of Privacy Preserving Data Analysis and Introduction to Differential Privacy
Differential Privacy Algorithms, Pros and Cons
Developing Applications with Different Privacy using open source frameworks
Need for Federated Learning and implementing Federated Learning using open source frameworks
Federated Learning benchmarks, startups and next opportunity
Homomorphic Encryption and Secure Multiparty Computation
Confidential computing - what, why and current state
Privacy Preserving in Large Language Models

"Riassunto" può appartenere a un’altra edizione di questo titolo.

preigu

Osnabrück, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 5 agosto 2024

Tariffe di spedizione da Germania a U.S.A.

Articolo	Da 60 a 60 giorni lavorativi	Da 60 a 60 giorni lavorativi
Primo articolo	EUR 70,00	EUR 70,00

I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

PayPal

Descrizione dello Store

preigu betreibt einen Onlineversandhandel mit über 1 Mio. Produkten in verschiedenen Sortimenten. Das Kernsortiment besteht aus Büchern, Medien und Spielwaren. Ein gelungenes Einkaufserlebnis ist das Ziel einer jeden Bestellung bei preigu, denn der Kunde und seine Zufriedenheit stehen an erster Stelle. preigu setzt daher auf einen kompetenten Kundenservice, funktionierende Prozesse und schnelle Reaktion.

Specializzazione

Bücher, Spielwaren

Informazioni sull’azienda del venditore

preigu GmbH & Co. KG

Lengericher Landstraße 19
Osnabrück, Germania 49078

Contatta il venditoreVisualizza gli articoli di questo venditoreVisita la vetrina del venditore

Condizioni di vendita

About Us

Legal website operator identification:

preigu GmbH & Co. KG
Lengericher Landstr. 19
49078 Osnabrück
Germany

Telephone: +49 (0) 541 / 580 72 84
Email: mail@preigu.de

VAT No: DE 455 380 498
AG Osnabrück - HRA 209647

PhG: preigu Verwaltung GmbH
AG Osnabrück - HRB 221793
CEO: Ansas Meyer

We are neither willing nor obliged to participate in dispute resolution proceedings before consumer arbitration boards.

We are a member of the initiative "FairCommerce" since 30.11.2016.
For more information, see: https://www.haendlerbund.de/de/haendlerbund/interessenvertretung/faircommerce

Diritto di recesso

Instructions for revocation

Right of withdrawal for the sale of goods

Revocation right for consumers
(A ‘consumer' is any natural person who concludes a legal transaction which, to an overwhelming extent, cannot be attributed to either his commercial or independent professional activities.)

Instructions for revocation

Revocation right
You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,

on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last product, provided you had ordered several products within the scope of a standard order and these products are delivered separately;
on which you or a third party nominated by you, which is not the carrier, had taken possession of the last part delivery or the last unit, provided you had ordered a product, which is delivered in several part deliveries or units;

To exercise your right of withdrawal, you must inform us (preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Telephone number: +49 (0) 541 / 580 72 84, E-Mail address: mail@preigu.de) by means of a clear declaration (e.g. a letter sent by post, or an e-mail) of your decision to withdraw from this contract. You can use the attached model withdrawal form for this purpose, which is, however, not mandatory.

You can also exercise your right of withdrawal online by clicking on a button labelled accordingly (such as ‘Withdraw from contract' or similar) on the AbeBooks/ZVAB website. If you use this online function, you will immediately receive a confirmation of receipt on a durable medium (e.g. via email) containing information on the content of the withdrawal notice, as well as the date and time of its receipt.

In order to safeguard the revocation period, it is sufficient that you send the notification about the exercise of the revocation right before the expiry of the revocation period.

Consequences of the revocation

If you revoke this contract, we shall repay all the payments, which we received from you, including the delivery costs (with the exception of additional costs, which arise from that fact that you selected a form of delivery other than the most reasonable standard delivery offered by us), immediately and at the latest within 14 days from the day on which we received the notification about the revocation of this contract from you. We use the same means of payment, which you had originally used during the original transaction, for this repayment unless expressly agreed otherwise with you; you will not be charged any fees owing to this repayment.

We can refuse the repayment until the products are returned to us or until you have furnished evidence that you have sent the products back to us, depending on whichever is earlier.

You must return or transfer the products to us immediately and, in any case, at the latest within 14 days with effect from the day on which you inform us of the revocation of this contract. The deadline is maintained if you send the products before the expiry of the 14 day deadline.

You bear the direct costs for returning the products.

You must pay for any depreciation of the products only if this depreciation can be attributed to any handling with you that was not necessary for checking the condition, features and functionality of the products.

Criteria for exclusion or expiry

The revocation right is not available for contracts

for delivery of products, which are not prefabricated and for whose manufacturing an individual selection or stipulation by the consumer is important or which are clearly tailored to the personal requirements of the consumer;
for delivery of products, which can spoil quickly or whose use-by date would be exceeded quickly;
for delivery of alcoholic drinks, whose price was agreed at the time of concluding the contract, which however can be delivered 30 days after the conclusion of the contract at the earliest and whose current value depends on the fluctuations in the market, on which the entrepreneur has no influence;
for delivery of newspapers, periodicals or magazines with the exception of subscription contracts. The revocation right expires prematurely in case of contracts
for delivery of sealed products, which are not suitable for return for reasons of health protection or hygiene if their seal has been removed after the delivery;
for delivery of products if they have been mixed inseparably with other goods after the delivery, owing to their condition;
for delivery of sound or video recording or computer software in a sealed package if the seal has been removed after the delivery.

Specimen - revocation form

(If you wish to revoke the contract, please fill up this form and send it back to us.)

To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
the provision of the following service ()
Ordered on ()/ received on ()
Name of the consumer(s)
Address of the consumer(s)
Signature of the consumer(s) (only in case of a notification on paper)
Date

(*) Cross out the incorrect option.