Unprecedented growth in the volume of data, the rising concerns of privacy breaches, and new legislation related to data privacyall contribute to the need for comprehensive enterprise-wide data security and privacy measures. Is your team positioned to ensure products and operations meet privacy goals and mitigate risks?

IEEE has partnered with the International Association of Privacy Professionals (IAPP) to provide the IEEE | IAPP Data Privacy Engineering Collection to organizations, delivering the most critical training, resources, and content for engineers and technology professionals tasked with understanding, maintaining, and protecting data privacy. Leverage the knowledge gained to apply strategies, policies, processes, and techniques to design and work with systems that enable prudent personal data use — all from a single source — IEEE.

Download the Brochure (PDF)  Download the Brochure (PDF)

Complete the form and contact us today to learn more about how to get access to the valuable resources available within the IEEE | IAPP Data Privacy Engineering Collection.

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Features

Features & Benefits:

The IEEE | IAPP Data Privacy Engineering Collection features:

  • 7 online learning courses based on the IAPP Certified Information Privacy Technologist (CIPT)
    training and certification body of knowledge, including the CIPT certification exam
  • 15 online learning courses from IEEE on related AI, Data Privacy, and Data Protection topics
  • 25 draft IEEE Standards critical to interoperability in data privacy
  • IEEE CEUs/PDHs

3D Printing Liquid Metal to Create Stretchable Electonic Devices

23 Jan 2019

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As 5G Wireless Rolls Out, Experts Look Ahead to 6G

17 Jan 2019

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Hand-Tracking Tech Is Taking Self-Driving Cars to the Next Level

5 Dec 2019

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Author 1
Frede Blaabjerg

(AALBORG, DENMARK)

Harmonic Stability in Power Electronic Based Power Systems: Concept, Modeling, and Analysis

Author 2
Irith Pomeranz

(INDIANA, US)

Extra Clocking of LFSR Seeds for Improved Path Delay Fault Coverage

Author 3
Manan Suri

(DELHI, INDIA)

Performance Enhancement of Edge-AI-Inference Using Commodity MRAM: IoT Case Study

Terms and Conditions

For a limited time, IEEE is offering faculty, librarians, and information professionals the opportunity to download four FREE eBooks from two engaging eBooks collections available in the IEEE Xplore Digital Library.

We hope you find these eBooks a valuable resource with critical information on emerging topics for your students and researchers. We encourage you to recommend these eBook collections to your librarian or contact your IEEE sales representative today for more information on how to purchase.