Fundamentals of Data-manipulating Privacy Enhancing Technologies (PETs)

Privacy Enhancing Technologies (PETs) comprise a long-standing and wide-ranging field of research, technologies, and solutions, which seek to address core data protection concepts such as online privacy, data protection by design, data minimisation and data security. In parallel, they aim to realise and unlock the value of data within the limits of applicable laws and regulations. PETs are also at the forefront of Digital Trust.

This course provides a comprehensive overview of commonly discussed modern PETs which operate on data directly, in the context of organisations applying such technologies to process personal data (a companion course addresses PETs which use cryptographic principles to protect data). It introduces the concepts at an easily understandable level, compares their pros and cons against other PETs, and raises known issues and limitations. The course includes several exercises and demonstrations aimed at strengthening participants’ understanding. As it is targeted at decision makers, managers, and system designers, it does not require advanced knowledge of mathematics nor programming skills.

Who should attend?

  • Privacy Engineers / Technical staff / Developers / Data Analysts / Project Managers / Data Architects
  • Data Protection Officers (DPOs) / Compliance Professionals / In-house counsels
  • Executives and staff involved in the use, management and / or protection of an organisation’s information and data

Course Details

Course Code: CS404
Duration: Half day (approximately 4 contact hours)
Mode of Training: In-person
Available Date(s): 13 May 2024
29 May 2024
12 June 2024
28 June 2024
Time: 2.00pm - 6.00pm (SGT)
Venue: 10 Collyer Quay, 11th Floor Ocean Financial Centre, Singapore 049315
 
Course Fee: S$300.00 (excluding GST)
Modes of Payment: We accept payment via bank transfer or cheque.

To view available dates and register for this course, please click here. You may also register for this course and view all available courses on our course schedule page (www.drewnapier.com/Academy/Course-Schedule).

Course Outline

Context for Data-oriented PETs

  • Purpose and scope of PETs
  • Regulatory requirements and general guidance on PETs
  • PETs versus related data protection technologies (like anonymisation)

Modern PETs for data protection

  • Private set intersection
  • Differential privacy
  • Synthetic data

Course Director & Facilitator

Albert-PichImaier.jpg
 
 

Senior Cybersecurity and
Privacy Engineer

Senior Learning Technology
Designer, Drew Data
Protection & Cybersecurity
Academy