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Privitar

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  • Advanced Data Privacy: Attacks & Defences
    Advanced Data Privacy: Attacks & Defences Theresa Stadler, Data Scientist, Privitar Recorded: Jul 12 2018 24 mins
    Sensitive information about individuals can be recovered from different types of data releases, including aggregate statistics or machine learning models. This session will address the privacy risks in publishing analysis results and introduce data privacy techniques to defend against them.

    Theresa Stadler, Data Scientist at Privitar, will explain differencing and reconstruction attacks on simple summary statistics such as count tables, along with discussing the privacy risks of supervised machine learning.

    Some of the takeaways of the session include:

    - Reasons to be concerned about the privacy of training data

    - The attacks on machine learning models that can occur and what private information about individuals in the training data can be recovered

    - A simple example of a black-box privacy attack on a classifier, a common machine learning model


    - An introduction to the differential privacy framework that functions as a privacy-enhancing technology to defend against the attacks introduced
  • [Video panel] Security and Privacy: Defining the relationship
    [Video panel] Security and Privacy: Defining the relationship Rob Anderson, Privitar (Chair); Jonathan Vowles, HSBC; Ellis Parry, BP; Sanjeev Shukla, Accenture Recorded: Jul 3 2018 35 mins
    This panel, from In:Confidence 2018, hosted by Privitar's Rob Anderson discusses the relationship between privacy and security, and how the two disciplines need to work together to achieve success.

    - Rob Anderson (Chair), Head of Field Operations, Privitar
    - Ellis Parry, Global Lead for Data Privacy, BP
    - Jonathan Vowles, Data Security, HSBC
    - Sanjeev Shukla, Managing Director, Accenture Security

    The words privacy and security are often used interchangeably - as both seek to protect information - but they are unique and complimentary disciplines, which each need respective levels of focus. The session looked to define the relationship between the two and how they need to align and work hand in hand.

    Security protects data against unauthorised access; privacy protects sensitive data in use within an organisation. Security is quite mature; privacy is an emerging discipline. Security is a technical field that has grown over several decades. Recognised security standards exist, and are maintained by an active community, with vetted security protocols in use everywhere. This is not yet the case for privacy. But if FB/ CA has taught us anything, it's that you definitely do need both.

    It was a fascinating discussion, from an industry-leading selection of speakers. Make sure to tune in and catch the session on-demand.
  • Will data privacy kill innovation?
    Will data privacy kill innovation? Olivier Penel, EMEA Data Management Business Director, SAS Recorded: Jun 21 2018 24 mins
    This session is taken from In:Confidence 2018, where Olivier Penel debated whether privacy will one day kill innovation.

    On one side, the dramatic breakthrough and widespread adoption of Artificial Intelligence (AI) technologies create many opportunities for companies to innovate and to create value with data.

    On the other side, increased privacy concerns and regulations bring new standards and rules in the way personal data should be used.

    His insightful session covered questions such as:

    - What will be the impact of the GDPR on data-driven innovative projects?

    - How can organisations use GDPR as a catalyst to accelerate their digital transformation journey and boost innovation?

    GDPR has now come into effect, but how will it affect innovation moving forwards? Tune in to find out.
  • [Video panel] The future of AI: Data and privacy considerations
    [Video panel] The future of AI: Data and privacy considerations Azeem Azhar, Exponential View (Chair); Jeni Tennison, ODI; Sherif Elsayed-Ali, Amnesty Int.; Andrea Mestriner, JustEat Recorded: Jun 14 2018 50 mins
    This panel, from In:Confidence 2018, hosted by The Exponential View's Azeem Azar discusses considerations for privacy as the world of AI rapidly grows and develops.

    Panelists:

    - Azeem Azhar (chair), The Exponential View & Accenture
    - Andrea Mestriner, Head of Analytics and Data Visualisation, Just Eat
    - Jeni Tennison, CEO, The Open Data Institute
    - Sherif Elsayed-Ali, Director of Global Issues and Research, Amnesty International

    The panelists looked to explore several key themes including the rise of AI; what it means for the consumer; considerations for data privacy and upcoming risks and opportunities for growth.

    It's an engaging debate, from an industry-leading selection of speakers. Make sure to explore the content.
  • Privacy-enhancing technologies and the GDPR
    Privacy-enhancing technologies and the GDPR George Danezis, Professor of Security & Privacy Engineering, UCL Recorded: Jun 7 2018 26 mins
    This session from In:Confidence 2018 will provide a brief history of privacy-by-design and it's relevance to the recently-come-into-effect GDPR.

    George follows his introduction to privacy-by-design with a deeper dive into privacy design strategies, and concrete privacy enhancing techniques (PET's), along with touching on privacy on the block chain.

    ---

    George Danezis is Professor of Security and Privacy Engineering and head of the Information Security Group of the Computer Science department at University College London. He is also a faculty fellow at the Turing Institute.

    His focuses include computer security, privacy, and in particular anonymous communications, traffic analysis, statistical inference, smart metering and peer-to-peer security. He has a special interest in the application of modern machine learning to security problems, as well as distributed ledgers.
  • Can we own the data about us?
    Can we own the data about us? Jeni Tennison, CEO, The Open Data Institute Recorded: May 31 2018 12 mins
    Post-Cambridge Analytica / Facebook the use and misuse of personal data is high in the public’s mind. But what does the story mean for data and our perception of how it should be controlled and owned?

    At In:Confidence 2018, the Open Data Institute’s Jeni Tennison made the argument that digital privacy rights require individual consumers to have ownership of data about them. Yet Personal data is often about multiple people, not just one, adding to the complexity of the debate around data ownership.

    Jeni questions whether a prospective future where we benefit from our decisions being informed by data while being protected from any harmful impacts is realistic. And how contributing to, developing and promoting a global rights framework for data might seem like a hard journey, but it is one we need to make if we are to use data to build a better future and better society for everyone.

    The data ownership and privacy debate is more relevant than ever. Tune in and explore as Jeni delves into the key talking points.
  • The practical reality of data privacy in large enterprises
    The practical reality of data privacy in large enterprises Jason McFall, CTO, Privitar Recorded: May 8 2018 13 mins
    Many traditional enterprises - banks, telcos, retailers, pharma companies, government organisations - are complex in their makeup, and this complexity extends to data and how data is used.

    This video, from In:Confidence 2018 features Privitar CTO Jason McFall discussing the early days of big data. How organisations collected and stored all and any information, because it wasn’t yet clear how useful it could be, or what the possible uses might be in the longer term. Practices like this created vast and murky data swamps, upping the risk of data breaches and making regulatory compliance harder to manage.

    So, rather than risk significant privacy breaches and the associated fines, many are choosing to play it safe by simply not using data at all. This is risky business too because companies will inevitably miss out on huge opportunities to innovate, create competitive advantage and stay relevant in a fast paced world.

    This session covers what enterprises should be doing with regards to privacy, including:

    - Data minimisation
    - Controlling datasets
    - Standardised privacy policies
    - Automating processes
    - Provisioning data for analytics
  • Chris Wylie: Inside the Facebook & Cambridge Analytica story
    Chris Wylie: Inside the Facebook & Cambridge Analytica story Chris Wylie, Cambridge Analytica Whistleblower & Harry Davies, Writer & Journalist, The Guardian Recorded: May 2 2018 51 mins
    Few names are more central and more important to the Facebook / Cambridge Analytica privacy story than Chris Wylie.

    Over the last 5 years, Chris's path as a data scientist lead him from his native Canada, to the head of research at SCL Ltd - a contractor developing military ‘information operations’ for the US and UK - to the top of a (then) little-known company named Cambridge Analytica.

    It was at Cambridge Analytica that he met Steve Bannon and began helping to pioneer their 'propoganda machine' designed to use social media to propel Donald Trump to the presidency in the 2016 election. To train the machine, they first concentrated it on the Brexit vote.

    This year, Chris came forward as the key whistleblower in the case and we were delighted to host him speaking on stage at In:Confidence 2018.

    Chris was joined for the extended interview by leading data privacy journalist and former Guardian and Observer Researcher Harry Davies, renowned for breaking the original story back in 2015. The pair took a deep-dive into the news storm that brought data privacy roaring onto the front pages, and became a pivotal moment in the public’s digital consciousness.

    Exclusive to BrightTALK, this session features Chris Wylie the man at the centre of the Facebook / Cambridge Analytica data privacy scandal giving the inside view; how we got to where we are now and suggesting what the industry can do moving forwards to prevent another damaging privacy breach.
  • Chris Wylie: Inside the Facebook & Cambridge Analytica story
    Chris Wylie: Inside the Facebook & Cambridge Analytica story Chris Wylie, Cambridge Analytica Whistleblower & Harry Davies, Writer & Journalist, The Guardian Recorded: May 2 2018 51 mins
    Few names are more central and more important to the Facebook / Cambridge Analytica privacy story than Chris Wylie.

    Over the last 5 years, Chris's path as a data scientist lead him from his native Canada, to the head of research at SCL Ltd - a contractor developing military ‘information operations’ for the US and UK - to the top of a (then) little-known company named Cambridge Analytica.

    It was at Cambridge Analytica that he met Steve Bannon and began helping to pioneer their 'propoganda machine' designed to use social media to propel Donald Trump to the presidency in the 2016 election. To train the machine, they first concentrated it on the Brexit vote.

    This year, Chris came forward as the key whistleblower in the case and we were delighted to host him speaking on stage at In:Confidence 2018.

    Chris was joined for the extended interview by leading data privacy journalist and former Guardian and Observer Researcher Harry Davies, renowned for breaking the original story back in 2015. The pair took a deep-dive into the news storm that brought data privacy roaring onto the front pages, and became a pivotal moment in the public’s digital consciousness.

    Exclusive to BrightTALK, this session features Chris Wylie the man at the centre of the Facebook / Cambridge Analytica data privacy scandal giving the inside view; how we got to where we are now and suggesting what the industry can do moving forwards to prevent another damaging privacy breach.
  • Security and Privacy: How to grow the relationship
    Security and Privacy: How to grow the relationship Rob Anderson, Privitar; Becky Pinkard, Digital Shadows & Jonathan Hayes, Dinube Recorded: Apr 25 2018 58 mins
    The words privacy and security are often used interchangeably - as both seek to protect information - but they are unique and complimentary disciplines, which each need respective levels of focus. This session will look to define the relationship between the two and how they need to align and work hand in hand.

    Security protects data against unauthorised access; privacy protects sensitive data in use within an organisation. Security is quite mature; privacy is an emerging discipline. Security is a technical field that has grown over several decades. Recognised security standards exist, and are maintained by an active community, with vetted security protocols in use everywhere. This is not yet the case for privacy. But if the Facebook / Cambridge Analytica story has taught us anything, it's that you definitely do need both.

    Maturity: What can Privacy learn from the maturity journey of enterprise Security?

    Emerging roles: Whose job is Privacy and Security respectively? What job titles are emerging and what do their job descriptions look like?

    Is there such a thing as a privacy culture?

    Ethics: Would it be advisable for data scientists to have a code of ethics? should they do ethics training?

    Transparency: consumers are concerned about the way businesses are using their data. But do they care about the distinction between privacy and security?

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