Attacking machine learning with adversarial examples
- ID
- 993
- Status
- new
- Published
- 24 Feb 2017, 4:00 PM
- Fetched
- 27 Jun 2026, 7:47 PM
- Provider
- OpenAI News
- Category
- ai-labs
- Original URL
- https://openai.com/index/attacking-machine-learning-with-adversarial-examples
- Source URL
- https://openai.com/news/rss.xml
Excerpt
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.
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