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Header of DATEV eG
Forums it-sa Expo Knowledge Forum F

Protecting AI systems using privacy preserving machine learning

In this presentation, we explain the application of Privacy-Preserving Machine Learning (PPML) for the protection of AI systems at DATEV eG.

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calendar_today Tue, 22.10.2024, 13:15 - 13:30

event_available On site

place Forum, Booth 9-443

Action description

south_east

Speaker

south_east

Themes

Data protection / GDPR Data security / DLP / Know-how protection

Key Facts

  • Privacy-Preserving Machine Learning (PPML)
  • Differential Privacy
  • Privacy & Information security

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Event

This action is part of the event Forums it-sa Expo

Action description

In a data-driven world, the integration of artificial intelligence (AI) into business processes and products is becoming increasingly important for software companies such as DATEV eG. However, this poses considerable challenges for information security and data protection, as long as AI systems process confidential data. In this presentation, we briefly introduce concepts and applications of Privacy-Preserving Machine Learning (PPML) in AI systems. PPML makes it possible to train models and make predictions without revealing sensitive information from the model.

The focus of the presentation is on explaining the basic principles of differential privacy using an example and its implementation. IT security-relevant topics, such as security features of and attacks on PPML, will also be discussed in order to illustrate the benefits and limitations of this technology for protecting AI systems. ... read more

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Language: German

Questions and Answers: No

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