What are Adversarial AI Attacks and How Do We Combat Them?

Written by modzy | Published 2021/05/25
Tech Story Tags: adversarial-ml | security | ai | deep-learning | data-security | good-company | artificial-intelligence | modzy

TLDR Modzy is developing a software platform for organizations and developers to responsibly deploy, monitor, and get value from AI - at scale. The field of adversarial machine learning focuses on addressing this problem by developing high-performing deep learning models that are also robust against this type of attack. Adversarial AI attacks can be divided into two categories: white-box attacks, black-box and poisoning attacks. Modzy's robust solutions are based on the Lyapunov Theory of Robustness and Stability of Nonlinear Systems [4, 5]via the TL;DR App
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Written by modzy | A software platform for organizations and developers to responsibly deploy, monitor, and get value from AI - at scale.
Published by HackerNoon on 2021/05/25
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