SAP Internship: Generative Adversarial Neural Networks for Data Anonymization -M/F Job in Mougins, France
Requisition ID: 201156
Work Area: Software-Research
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
SAP 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).
Creating 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.
Please send in English your CV, a cover letter and any relevant documents in English
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