World Congress 2023 Nov 10, 2023

Hacking AI - how attackers impose their will on AI

Mirko Ross

A simple printed sticker can trick an autonomous vehicle into dangerous misclassifications. Discover how attackers manipulate AI with mathematical noise, and learn to secure your machine learning pipelines.

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#1 about 5 min

Core principles of manipulating artificial intelligence models

How the statistical nature of AI systems leaves them susceptible to data poisoning and unexpected outputs.

#2 about 4 min

Missing input validation practices in the artificial intelligence industry

Why failing to sanitize training data creates security vulnerabilities similar to legacy web application flaws.

#3 about 8 min

Exploiting image recognition systems with physical adversarial attacks

How adding calculated mathematical disturbance to two dimensional objects forces neural networks into dangerous misclassifications.

#4 about 2 min

Executing adversarial attacks on three dimensional physical objects

How embedding disturbance patterns into physical models guarantees misclassification across different camera angles.

#5 about 3 min

Defending visual artificial intelligence models against data poisoning

How reducing image bit depth effectively strips malicious mathematical noise from visual inputs.

#6 about 6 min

Prompt injection vulnerabilities and contextual mitigation testing challenges

Why complex contextual prompts easily circumvent manual ethical constraints and scale poorly for foundational models.

#7 about 3 min

Generating adversarial patterns and defending consumer machine learning models

How automated systems generate disturbance patterns and why utilizing third-party models remains inherently risky.

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