The Conference for Machine Learning Innovation

Everything You Need to Know about Security Issues in Today’s ML Systems

Shorttalk
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Register until October 21:
✓ 50% off on all prices
✓ 10% team discount
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10 % Team Discount
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Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
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Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos

As machine learning (ML) based approaches continue to achieve great results and their use becomes more widespread, it becomes increasingly more important to examine their behavior in adversarial settings. In this talk, we will take a look at everything an ML practitioner should know when it comes to security issues in ML systems. At the end of the talk, you will know what is and what isn’t possible, what you should and what you shouldn’t worry about. We will start with a general overview of security issues in ML systems (eg. poisoning, evasion, inversion attacks), and then focus on vulnerabilities at test time (adversarial examples). We will see what adversarial examples are, what negative consequences they might cause, and take a look at existing attacks on ML systems. We will cover attacks on ML as a service (Google Cloud, AWS), attacks on state of the art face recognition systems, attacks on autonomous vehicles, attacks on voice assistants (Apple Siri, Google Now, and Amazon Echo) and more.

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore and  und BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore and  und BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore and  und BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von SingaporeSingapore and  und BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks