Internship: Generative Adversarial Neural Networks for Data Anonymization -M/F JobApply now »
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Date: Dec 7, 2018
City:Mougins, 06, FR
Requisition ID: 201156
Work Area: Software-Research
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
COMPANY DESCRIPTIONSAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.
SAP’s security vision is built on 5 ideals to secure business: Defendable Application, Zero-Knowledge, Zero-Vulnerability, Security by Default, and Transparency.
SAP’s security research group lays the foundation for realising the vision: The 30+ researchers of the Security Research unit focus on security engineering (e.g., the automation of the secure software development lifecycle), secure business execution (e.g., business process security and security in cloud based business applications) and secure operations (e.g., secure maintenance and support of complex and heterogeneous cloud IT landscapes).
Security Research proposes a 6-month internship in its Sophia-Antipolis offices (Mougins, France).
INTERNSHIP TOPICCreating new high-quality anonymized datasets with privacy guarantees is a tough challenge. The increasing demand for machine learning associated with regulatory pressure to protect personal data require strong approaches for data anonymization. Differential privacy provides resistance to a number or re-identification attacks, depending on the privacy parameters used.
In this internship, the student will contribute to the creation of a flexible anonymization framework based on Generative Adversarial Networks (GANs). Thanks to the latest developments in deep learning and generative models, the framework shall be able to model rich-semantic data maintaining both the original distribution of the features and the correlations between them.
The output of this framework is a deep network, namely a generator, able to create anonymized data on demand. Unlike previous work, the framework shall be easily adapted to different use cases, from the generation of time-series to continuous data, and discrete data.
In the above-described context, the specific goals of the internship are as follows:
- Experiment with GANs using differential privacy for multiple datasets
- Devise an approach for hyperparameter tuning
- Create appropriate data preparation and extraction for different classes of data
- Create an approach for checking training convergence, for instance detecting mode collapse.
Technologies/techniques involved are: Python, Tensorflow, SKLearn and Machine Learning in general
We expect that 50% of time will be dedicated to research activities, and 50% to development
- University Level: Last year of MSc or less if the student has a good profile
- Good knowledge of the Python programming language
- Good knowledge of versioning control systems like GIT or SVN
- Good knowledge of data science and machine learning algorithms
- Interest in research work
- Fluency in English (working language)
- Good oral and written communication skills
Over the past 45 years, SAP has grown to become the world's leading provider of business software solutions. With 12 million users, 96,400 installations, and more than 1,500 partners, SAP is the world's largest inter-enterprise software company and the world's third-largest independent software supplier, overall. SAP solutions help enterprises of all sizes around the world to improve customer relationships, enhance partner collaboration and create efficiencies across their supply chains and business operations. SAP group includes subsidiaries in over 180 countries and employs more than 91 000 people.
Security Research at SAP Labs France, Sophia Antipolis
Based at SAP Labs France Mougins, Security Research Sophia-Antipolis addresses the upcoming security needs, focusing on increased automation of the security life cycle and on providing innovative solutions for the security challenges in networked businesses, including cloud, services and mobile.
PROCEDUREPlease send in English your CV, a cover letter and any relevant documents in English
WHAT YOU GET FROM USSuccess is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.
SAP'S DIVERSITY COMMITMENTTo harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com).
Successful candidates might be required to undergo a background verification with an external vendor.
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