Use our global calendar of privacy events to locate an event near you.
SAVE THE DATE! CPDP2020 will take place from January 22nd to 24th, 2020 in BRUSSELS
In order to ensure a smoothly running conference, we always kick off the organistion of the next edition shortly after the end of the conference. We have issued the CPDP2020 Call for Panels.
Please keep checking www.cpdpconferences.org for first-hand news about CPDP2020.
The third annual ACM FAT* Conference brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems. The 2020 conference will be held in Barcelona, Spain.
The conference in 2020 will have five tracks:
- Computer Science
- Social Sciences and Humanities
- Practice and Experience
ACM FAT* builds upon two previous successful conference editions and years of workshops on the topics of fairness, accountability, transparency, ethics, and interpretability in machine learning, recommender systems, the web, and other technical disciplines.
May 23rd, 2019 | The preliminary call for papers is available.
August 22nd, 2019 | Full paper submission.
October 22, 2019 | Notification Date
January 27th – 30th, 2020 | Conference
“Data Privacy Day began in the United States and Canada in January 2008, as an extension of the Data Protection Day celebration in Europe. The Day commemorates the 1981 signing of Convention 108, the first legally binding international treaty dealing with privacy and data protection. Data Privacy Day is a celebration for everyone and held on January 28th every year.”
More information can be found here.
IT crime has now climbed to be the 12th largest global industry. Data protection, privacy and cybersecurity breaches are on top of the corporate and national data protection oversight agencies.
Our deep diveon topical and timely GDPR and related issues at the Data Protection Day will improve, refine and sharpen your hands-on GDPR capabilities on the facts you need to address the continued GDPR challenges.
This Data Protection Day will provide the techniques for implementing or updating the compliance program to fit your organisation. The primary agenda components of the Data Protection Day are:
- The IT, GDPR, and cybersecurity plan for 2020
- IT Security and Data Breach
- How can we prevent abuse or misuse of personal data?
- How do we address GDPR and Privacy violations?
- What are the remedies that we use to correct the employee faults and errors?
- Privacy by Design: Understanding the Mandates and The Practical Dimensions
- What is the legal basis of IT and cybersecurity compliance in the organisation?
- How to ensure consistent consent from data subjects to secondary processing
- The review of the audit process for implementing change in processing personal data.
- Data Privacy Impact Assessments: The Full Picture
- How should regularly reviews the data and process (regular data flow mapping, audits, risk assessments and reviews) to ensure the legal basis has not changed
- How is the personal information is collected and used?
- Do we use data precisely for the purpose it was collected?
- Top Operational Responses to GDPR: What to Do and When
- We walk through a couple of step-by-step participant experiences.
The realities of GDPR data breach notification and responses require exceptional in-house communication (with information on what to do before, during, and after an incident occurs) to prepare the organisation for a violation, handle tricky multi-jurisdictional legal notices will also be discussed.
|Facial recognition is a common example of a biometric technique and attracts the attention of privacy regulators to its use in public areas, such as railway stations and to help verify identity. Meanwhile companies are increasingly using voice or facial recognition and other biometric techniques in a variety of commercial and employment related contexts such as attendance in the workplace and fraud prevention in financial services.
The objective of this Roundtable is for companies to exchange experience on how they are implementing and using biometric techniques in different scenarios and plan to use them in the future. While the technology is constantly developing, the question facing companies, as always, is just because a technique can be developed, what are, and should be, the legal and ethical constraints on its use? Informing customers and staff of use of biometric techniques is necessary and has a preventative role. What would privacy regulators regard as achieving a fair balance between use of a technique to reduce fraud and fairness to customers? How have different companies approached this subject?
Privacy Laws & Business, hosted by Macquarie Group, is facilitating a Roundtable immediately after Data Protection Day 2020, to learn about the latest tech developments in this field and explore current practice to assess what is not only lawful but also learn about fair collection and use of personal data in different company contexts.
WSDM PrivateNLP is a full day workshop taking place on Monday, February 3, 2020 in conjunction with WSDM 2020 in Houston, Texas.
Privacy-preserving data analysis has become essential in the age of Machine Learning (ML) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants.
It is therefore important to curate NLP datasets while preserving the privacy of the users whose data is collected, and train ML models that only retain non-identifying user data.
The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing.
Topics of interest include but are not limited to:
* Generating privacy preserving test sets
* Inference and identification attacks
* Generating Differentially private derived data
* NLP, privacy and regulatory compliance
* Private Generative Adverserial Networks
* Privacy in Active Learning and Crowdsourcing
* Privacy and Federated Learning in NLP
* User perceptions on privatized personal data
* Auditing provenance in language models
* Continual learning under privacy constraints
* NLP and summarization of privacy policies
* Ethical ramifications of AI/NLP in support of usable privacy
All submissions will be double-blind peer reviewed (with author names and affiliations removed) by the program committee and judged by their relevance to the workshop themes. All submissions must be in English, formatted according to the latest 2 column ACM SIG proceedings template.
Submitted manuscripts must be 8 pages long for full papers, and 4 pages long for short papers. Both full and short papers can have 2 additional pages for references and appendices. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.
Submissions should be made as a pdf file to: https://easychair.org/
Oluwaseyi Feyisetan (Amazon, USA)
Sepideh Ghanavati (University of Maine, USA)
Oleg Rokhlenko (Amazon, USA)
Patricia Thaine (University of Toronto, Canada)
You’re an industry expert with knowledge to share. Showcase your industry expertise with our community February 24 – 28 in San Francisco. Get recognition from industry colleagues and take advantage of unparalleled networking opportunities with other cyber security and risk management professionals, industry authorities, and thought leaders from around the world.
Call for Speakers for Full Conference tracks and Learning Labs closes:
Friday, August 2 (11:59 PM Pacific Time).
Call for Speakers for Hackers & Threats tracks and RSAC Sandbox, closes:
Friday, August 16 (11:59 PM Pacific Time).
The KNOW Identity Conference is the leading industry event focused on identity, trust, and the data economy. It’s a uniquely differentiated, powerful, and immersive event where the leading edge of identity gets sharper. This year, we’re bringing together 2,000 attendees, 500+ companies, 200+ speakers, 100+ exhibitors, across 35+ countries to learn, network, and make identity work better for everyone. And it won’t be complete without you.
Certification Training April 5-6
Active Learning April 6
Conference April 7-8