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Most privacy professionals recognize January 28 as Data Privacy Day. But in our opinion, one day simply is not enough to celebrate privacy. This year, the IAPP and the Washington D.C. KnowledgeNet Chapter are bringing Data Privacy Day celebrations right to your doorstep throughout the entire month of January!

Join IAPP KnowledgeNet Chapters as they host their first gatherings of the year to celebrate the profession that unites us. Make the most of this opportunity to network, share professional experiences and have some fun.

Please register via the IAPP website or just show up!

Please join us for a candid conversation about the challenges facing companies in the first month since the CCPA took effect. From new consumer rights to know, delete, and object to the sale of their information, to a new private right of action for data breaches, our panelists will explore the latest on the CCPA compliance front.

Speakers:
Brian Kabateck, Kabateck LLP
Alastair Mactaggart, Board Chair and Founder, Californians for Consumer Privacy
Olivia Samad, Privacy Counsel, Senior Attorney, Southern California Edison
Ben Hayes, CPO, Zeta Global

Moderator:
Natasha Amlani, Associate, Perkins Coie LLP

Introductory remarks by : Tanya Forsheit, Los Angeles Office Supervising Partner and Privacy & Data Security Group Chair, Frankfurt Kurnit Klein & Selz

The County of Santa Clara’s Privacy Office invites you to join us for our 2nd Annual Data Privacy Day. With the 2020 election around the corner, the need for an accurate and sound election process is a top priority. The 2016 election is still on everyone’s mind, along with issues about email security and WikiLeaks. Also, the coming of age of social media has changed the election landscape with the ability to target voters and leverage disinformation campaigns in ways not previously seen.

Privacy is critical. The right to an anonymous vote is a cornerstone of the U.S. democratic process. However, much information about voters is either public by law or can be obtained from a wide variety of sources, and campaigns are highly motivated to obtain that information. This tension gives rise to a number of important questions as voters head to the polls in 2020. As information gathering and individual targeting capabilities expand, how should election officials, candidates, and voters prepare for disinformation campaigns leading up to the election? What role will so-called social graphs and profiles play in future elections? How will privacy be impacted by the increase in the use of mobile applications designed to collect personal information and broadcast political messages?

At the County-level, new ways of voting, such as the Voter’s Choice Act, will serve as a backdrop to elevate turnout in the next election cycle with the support of strong election privacy and security practices. Informing the public about the integrity of our election system and the protections in place will be imperative to build public trust and confidence in the way valid voting information is communicated, elections are carried out, vote counts are tallied, and results are presented. Our guest speakers and expert panelists will discuss these issues in elections, privacy, and the public trust along with an update on consumer privacy legislation taking effect in 2020.

Our Speakers*:

Supervisor Joe Simitian – Keynote

Aleecia McDonald – Carnegie Mellon University – Panel Moderator

Gail Pellerin – Santa Cruz County Clerk (Voter Registrar) – Panelist

Kim Alexander, President & Founder of the California Voter Foundation

Barbara Simons – Board Chair of Verified Voting – Panelist

*Speakers/Panelists subject to change

CCPA and GDPR are only the beginning when it comes to emerging privacy regulations. Therefore, you need a plan for how to ensure every aspect of your business complies with state and region-specific consumer data statutes. Simultaneously, you need to balance risk with cost in order to ensure your business can continue to innovate and grow. At The Legal Forum on Statewide Privacy Compliance, you will learn the ins and outs of how to ensure your practices align with the changing laws and how to develop strategies to keep pace with those new acts that are likely to pass in the coming months.

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

Submission Instructions:

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/conferences/?conf=privatenlp20

Organizers:

Oluwaseyi Feyisetan (Amazon, USA)
Sepideh Ghanavati (University of Maine, USA)
Oleg Rokhlenko (Amazon, USA)
Patricia Thaine (University of Toronto, Canada)

Hear from the IAPP, ICO, IAF, Anonos and Acxiom on the following:

For those at the crossroads of trying to balance data value and privacy, this web conference teaches the fundamentals of EU General Data Protection Regulation-recommended pseudonymization and how it helps organizations to maximize data utility while increasing accountability, ethics and transparency.

Data drives commerce. It opens up opportunities for businesses to build on a global scale. But those opportunities have brought challenges in data innovation and utility, risk and the privacy of individuals. To date, commerce has experimented with consent to manage these risk and privacy challenges. But consent alone no longer works in many situations; we need to go above and beyond consent by itself. This webinar will look at a complement to consent, a technological application that is a “belt and braces” approach to balancing privacy and data value when consent does not work. Panelists will discuss how to fully maximize data value while maintaining privacy, through the use of GDPR-recommended pseudonymization safeguards, to achieve ethical data use, while maximizing data utility.

Join us for this data privacy education web conference to learn about this and more. You’ll hear from experts in the field about:

+What is the 5th Cookie working group (www.5thCookie.com), and what does it hope to achieve?
+How does the 5th Cookie approach leverage GDPR-recommended pseudonymization?
+How does it enable ethical advertising technology/real-time bidding?
+How to apply GDPR-recommended pseudonymization to other data uses (non-adtech/RTB)?
+What are the benefits of leveraging pseudonymization to enforce risk-based data governance policies?
+What do you gain when you can resolve conflicts between maximizing data value and protecting privacy?

Panelists:

+Paul Comerford, Principal Technology Policy Advisor, ICO UK Data Protection Authority

+Martin Abrams, Executive Director and Chief Strategist, International Accountability Foundation

+Gary LaFever, CEO, Anonos

+Dr. Sachiko Scheuing, CIPP/E, European Privacy Officer and Data Protection Officer, Acxiom

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).

While Germany is the EU Member State with the largest economy and the highest population in Europe, the working of its data protection law is the most complex to understand.

Enforcement is split between the Federal level and the 16 separate Lander (state) Data Protection Authorities, and each Land has its own courts. Appeals can sometimes go to a higher federal court. In addition, regulatory traditions vary with some DPAs favouring a stricter interpretation of the law while others are more pragmatic.

Attending this one day conference will enable you to navigate this confusing landscape and understand how to take data protection law into account when doing business in Germany.

The optional afternoon roundtable will enable you to exchange experience in a confidential atmosphere with your peers, and discuss how you resolve your issues with others around the table.