2013 CE
Adversarial examples reveal fragility
Artificial intelligence · Safety and control
Christian Szegedy and colleagues showed that small image perturbations could induce neural-network classification errors. The finding exposed how good accuracy on ordinary tests does not guarantee robustness to inputs designed to cause failures.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
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- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- arxiv.org (opens in a new tab)
Source provenance and scope
- Publication date
- 2013-12-21
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Date note
- Date of the first arXiv preprint version; later revisions may exist.
- Bibliographic date checked
- 2026-09-23
- Date evidence
- Declared in the cited source’s publisher metadata.
- Access date
- 2026-09-20
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