Submissions
Privacy Engineering Conference

Privacy Engineering Conference

Approaches and solutions for building privacy in products via engineering and design

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Accepting submissions till 06 Jan 2021, 11:59 PM

Concerns about privacy are growing mainly because:

  1. The costs of compliance have increased, including monetary fines and penalties for non-compliance to regulations - GDPR, CCPA, sector-specific rules such as for health, fintech and social media platforms.
  2. Privacy is important to build trust with users, and for user retention.
  3. Growing awareness about privacy and demand from customers for businesses to guarantee privacy of their data.

These, and other imperatives - business, regulatory, governmental - are the basis for the Privacy Engineering Conference.

Plan for the Conference: Scheduled for January 2021, this conference will have the following build-up activities:

  1. Bi-monthly meetups, leading to the build-up of the conference.
  2. Public talks - by privacy engineers - to help us push the boundaries of engineering approaches and solutions.
  3. Round tables and Birds of Feather (BOF) sessions - for targeted domains and segments to discuss specific concerns, and how cross-pollination can occur for building towards a community for privacy enhancing technologies.
  4. Collaborations to create content such as cheatsheets, case studies, checklists and guides, which will help the tech industry in efforts for building privacy-tech.
  5. Workshops.
  6. Other activites as per needs, demand and topicality.

The Call for Proposals (CfP) is open. Presentations submitted via the CfP will be funneled to the build-up sessions.

Participate in Communities: If you are concerned/interested in discussing privacy, engineering and design issues, consider participating in groups such as:

  1. Cashless Consumer
  2. Kaarana
  3. null

These groups/communities actively discuss privacy, data governance and privacy-tech issues, including organizing events on topical issues.

You can also join The Fifth Elephant’s Telegram group here: https://t.me/fifthel to talk to data scientists and ML engineers on privacy-tech (among other topics).

Contact information: For queries, write to fifthelephant.editorial@hasgeek.com or call 7676332020.

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Accepting submissions till 06 Jan 2021, 11:59 PM

Not accepting submissions

This Call for Proposals (CfP) is open for: Individuals/companies to submit presentation ideas (see Session Format to fine-tune ideas). Suggest topics for someone else to speak/teach/write. (Again, see Session Format to fine-tune ideas.) expand

This Call for Proposals (CfP) is open for:

  1. Individuals/companies to submit presentation ideas (see Session Format to fine-tune ideas).
  2. Suggest topics for someone else to speak/teach/write. (Again, see Session Format to fine-tune ideas.)

Audience for privacy engineering conference and build-up events:

  1. Privacy engineers
  2. Security professionals/practitioners
  3. Crypto researchers and practitioners
  4. Software developers
  5. Academia, where work on privacy and technology is being carried out
  6. Product managers
  7. Designers working on integrating privacy in product/interface design.
  8. Business owners, including founders and members of CXO teams, who front-face with customers and regulators.
  9. Marketing tech professionals who have to comply with regulations that prevent profiling and targeting on the basis of individual data.

If you are one of the above - or someone who have to work with privacy tech (directly/indirectly), you should consider submitting a presentation for speaking (or a topic for someone else to speak).

Session formats:
This conference - and the build-up activities - are accepting proposals for:

  1. Workshops - 3 hours, 6 hours or 2 days duration
  2. Talks on privacy engineering and design approaches, as used in practice - 20 mins, 40 mins and 60 mins
  3. Showcase of in-house solutions, tech stacks and workarounds devised for compliance and privacy - 20 min and 40 min demo sessions
  4. Birds of Feather (BOF) sessions - 60-90 mins
  5. Round table ideas - with defined target segments
  6. Content creation (and collaboration) ideas - checklists, guides, etc.
  7. Format of your choice

Topics to consider submitting presentation ideas (and suggesting topics):

  1. Privacy protocols and standards. For e.g., data minimisation, differential privacy, privacy by design, privacy by default.
  2. End-to-end encryption protocols and engineering. For e.g., Signal Protocol, Matrix Protocol, Disappearing messages, E2E with WebRTC for communications.
  3. Privacy audits; analysis of information systems. For e.g., privacy violations, forensics and third-party data sharing.
  4. Data anonymisation practices and standards; re-identification attacks. For e.g., anonymizing health data, re-identification of health data, similar issues for MarTech.
  5. Privacy Preserving Analytics, Issues of TradeOffs between Utility and Privacy.
  6. Alternative data practices such as synthetic data for Machine Learning and AI; techniques to measure and detect machine bias.
  7. Computing over-sensitive data using new age techniques. For e.g., homomorphic encryption, Private Information Retrieval (PIR) algorithms.
  8. Trust in systems and algorithms with cryptography. For e.g., Applied cryptographic algorithms and practice.
  9. Approaches and solutions built for decentralised data structures and architecture design, with focus on privacy.
  10. Protocols and frameworks for data collection and sharing. For e.g., Responsible Data Practices, designing data exchanges.
  11. Open source engineering solutions for privacy - anything you are working on, building in-house.
  12. Ethnographic studies of privacy engineering in technology production. For e.g., implementation and usage of privacy techniques and practices, in the fields of health, governance, education, employment.

Contact details: For queries, write to fifthelephant.editorial@hasgeek.com or call 7676332020.

Make a submission

Accepting submissions till 06 Jan 2021, 11:59 PM

Venkata Pingali

ML Feature Store Enhancements for PDP Compliance

The new PDP (Personal Data Protection) Law, which is similar to GDPR and CCPA, will be passed in the near future and will go into effect immediately. All enterprise data services including analytics and data science within the scope of the law are required to comply with the same. more
  • 1 comments
  • Submitted
  • 06 Jun 2020
Talk - 40 mins
Make a submission

Accepting submissions till 06 Jan 2021, 11:59 PM

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more