When top experts gather at the conference CyberSec & AI Prague in October, one topic will be adversarial algorithms
Cybersecurity and artificial intelligence are two sprawling fields. They overlap in a fascinating area that will draw top experts to Prague in October for the conference CyberSec & AI, which is sponsored by Avast and the Czech Technical University. The conference will allow researchers and engineers to share ideas on state-of-the-art topics, including the cybersecurity threat posed by the advances in AI.
Defenders train our AI classifiers to be more robust by feeding them many examples of good and malicious files. Cybercriminals, meanwhile, are busy training their AI classifiers to generate malicious files that seem harmless. This active arms race make AI in security particularly challenging. We must teach our AI to look for those disguised threats, and always stay a step ahead. One way to do that is by generating adversarial examples to teach our classifiers by using approaches like generative adversarial networks (GANs). Another way would be to model “good” or “acceptable” characteristics, which might be possible to protect simple devices like IoTs. The problem is the adversary has access to the same AI as the defenders.
AI security still relies on security through obscurity, meaning the only way to protect AI is by hiding it from the adversary. An adversary can fool an AI program as soon as they have access to the algorithm. This is different from other facets of security, such as e ..
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