The Conference for Machine Learning Innovation

Threat modeling and security assessment for ML models

Session
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
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Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
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 September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Infos
Tuesday, June 28 2022
14:30 - 15:15

Attacks on machine learning systems include a wide range of different approaches and go beyond the notorious adversarial examples. They can change the logic of the system (Adversarial examples and Adversarial Reprogramming, Resource exhaustion. They can be used to obtain data from AI systems (so-called Membership inference or Model Extraction attacks). Finally, attackers can inject data into systems ( such as Poisoning, Backdoor, and Trojan attacks). Unfortunately, a silver bullet has not been invented yet, but we will show you how to deal with the security assessment of ML algorithms, how to define a threat model, what metrics to choose, what approaches to protection can be applied and where, and how to achieve maximum protection with a reasonable investment of resources.

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Behind the Tracks