ML Conference brings together the world’s leading Machine Learning experts and innovators to share their ideas and experience. The founder and CEO of Adversa Alex Polyakov became a part of this event with his presentation called ‘Protecting AI Solutions From Attacks’.
Attacks on machine learning systems include a wide range of different approaches and don’t end with the notorious Adversarial examples. Attacks can change the logic of the system (adversarial examples and reprogramming) to obtain data from AI systems (so-called Membership inference or Model Extraction attacks) or, conversely, to inject data into the system (Poisoning, Backdoor, Trojan). The silver bullet from these attacks hasn’t been invented and is unlikely to be.
Alexander demonstrated
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