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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: Oct 23 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
  • Unlocking the value of sensitive data across the enterprise
    Unlocking the value of sensitive data across the enterprise
    Mark Semenenko, Privitar; Barry Green, Bank of Ireland & Olivier Penel, SAS Recorded: Oct 16 2018 50 mins
    Many organisations are stripping themselves of the power to put their own data to use, thanks to legacy systems, complicated internal processes and privacy concerns.

    This interactive panel session will cover how to unlock the value of your sensitive data, to ensure that it's being used effectively and efficiently across the enterprise.

    Panelists:

    - Barry Green, Former Bank of Ireland & HSBC CDO
    - Olivier Penel, EMEA Data Management Business Director
    - Mark Semenenko, Sales Engineering, Privitar
  • Solution de data privacy dans un contexte GDPR
    Solution de data privacy dans un contexte GDPR
    Carine Lecadre Perrier, Head of Compliance, Partech avec Sebastien Cognet & Leonardo L’ecaros, Privitar Recorded: Sep 26 2018 49 mins
    Comment renforcer la confidentialité des données dans un contexte de risque et de nouvelles obligations?

    Privitar est une plateforme logicielle centrale de gouvernance de la confidentialité des données permettant non seulement de répondre à certains enjeux de la GDPR mais également d’avoir une approche fonctionnelle de “Privacy by Design” sur des cas d’usage précis. La plateforme Publisher vous permet de livrer à la demande ou en streaming des jeux de données anonymisées par des techniques de masquage, de perturbation ou de généralisation tout en conservant l’intégrité de vos données sensibles. Il est également possible d’insérer des filigranes invisibles afin d’auditer l’origine d’une donnée en cas de fuite de fichier et ainsi de protéger votre e-réputation. Ce webinar soulignera en premier lieu les obligations du contexte GDPR pour ensuite se concentrer sur l’illustration concrète de deux clients. Il s’achèvera par une démonstration de la solution. Il est important de noter que nos solutions s’insèrent dans vos environnements Big Data et facilitent ainsi le développement de processus analytiques sans compromettre la valeur des données et en respectant la confidentialité due à vos clients et utilisateurs.

    Les speakers:

    Carine Lecadre Perrier | Head of Compliance @Partech
    Sébastien Cognet | Responsable Avant-Vente Europe du Sud @Privitar
    Leonardo L’ecaros | Responsable Commercial Europe du Sud @Privitar
  • Privacy 101: Basic Overview and Tips for Organizations
    Privacy 101: Basic Overview and Tips for Organizations
    Elena Elkina (Aleada Consulting) | Bret Fund (SecureSet) | Dr. Pierre-Andre Maugis (Privitar) Recorded: Sep 13 2018 62 mins
    This webinar is part of BrightTALK's Privacy Insights Series.

    Join privacy and cyber security experts for an interactive discussion on:
    - What is Privacy and why should you care
    - Why all of a sudden everyone cares about Privacy
    - User/Customer expectations and reality
    - Data breaches prevention and notification
    - Crafting your Privacy Policy
    - Best recommendations for organizations

    Speakers:
    - Elena Elkina, Partner at Aleada Consulting
    - Bret Fund, CEO of SecureSet
    - Dr. Pierre-Andre Maugis, Data Scientist, Privitar

    Audience members are encouraged to send questions to the speakers to be answered during the live session.
  • 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.

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    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.

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