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Conference Program

Please note:
On this site, there is only displayed the English speaking sessions of the OOP 2022 Digital. You can find all conference sessions, including the German speaking ones, here.

The times given in the conference program of OOP 2022 Digital correspond to Central European Time (CET).

By clicking on "EVENT MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.

Thema: Security

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  • Montag
    31.01.
  • Dienstag
    01.02.
  • Donnerstag
    03.02.
, (Montag, 31.Januar 2022)
14:00 - 17:00
Mo 14
Limitiert Security Games – Playfully Improve your Security

Security is an important topic, especially when developing software. But it is seen as complex and is holding everyone back, often put off until the end and delegated to an external person or group.

To be effective security needs to be a continuous part of the development process and to involve the whole team.

Security games can help to achieve this. They involve the whole team and facilitate the learning and application of security principles. They offer a way to integrate expert knowledge and…

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Claudius Link, Matthias Altmann
, (Dienstag, 01.Februar 2022)
16:15 - 17:15
Di 3.3
Making your Bureaucracy Value Stream Lean and Automated

In today’s software-driven world, the integrity of software assets isn’t just a regulatory and compliance requirement, it’s critical for maintaining trust and avoiding irreparable damage to your brand and reputation. We found that Compliance, Software Chain of custody and in-App Security as well as API Security are seen as an overburdened bureaucracy. But they have to be part of your software value stream. So the question is, how they can be so lean, automated and optimized that they can…

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Matthias Zieger
Vortrag: Di 3.3
Themen: Security
, (Donnerstag, 03.Februar 2022)
17:00 - 18:00
Do 5.4
Security Engineering for Machine Learning

Machine Learning appears to have made impressive progress on many tasks from image classification to autonomous vehicle control and more. ML has become so popular that its application, though often poorly understood and partially motivated by hype, is exploding. This is not necessarily a good thing. Systematic risk is invoked by adopting ML in a haphazard fashion. Understanding and categorizing security engineering risks introduced by ML at design level is critical. This talk focuses on results…

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