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GUIDE teknik
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Adversarial examples are inputs crafted to cause a model to produce an incorrect or undesired output under a stated threat model.
Déglul tegtal biiIA-nettali · ~1 min
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Adversarial-ML research studies attacks on machine-learning systems and possible mitigations. Results depend on the threat model, attacker knowledge, perturbation constraints, data, and evaluation protocol. An adversarial example is not simply an unusual input; it is constructed to induce a specific failure under stated constraints. Image perturbations and prompt-injection attacks are related security concerns but are not the same mechanism. Do not present hypothetical stickers, facial patches, or spam examples as observed incidents unless a source documents them.
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A hypothetical image perturbation tests a classifier under a defined norm and budget.
A robustness evaluation compares clean and adversarial accuracy.
A red team tests whether a text model follows malicious instructions.
A report distinguishes demonstrated failures from illustrative examples.
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Adversarial testing and mitigations continue to develop. State what was tested and avoid claiming certification or universal robustness from a limited evaluation.
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Take the Adversarial Examples and Robustness quiz
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What is Adversarial Examples and Robustness?
Adversarial examples are inputs crafted to cause a model to produce an incorrect or undesired output under a stated threat model.
Under a specified threat model, what is an adversarial example?
The guide defines adversarial examples relative to an attack and threat model; some settings use bounded perturbations, but changes need not always be tiny or imperceptible.
Lan mooy wuutale songu 'kees bu weex' ak songu 'kees bu ñuul'?
Ñiy song boyet bu weex xam nañu model bi te mën nañu jëfandikoo ay gradient; songe black-box yi duñu gis lenn ludul dugg ak genn.
What is adversarial training commonly used for?
Adversarial training can improve resistance to evaluated attacks, but robustness depends on the threat model and does not cover every possible attack.
Lan moo waral 'mën toxal' misaali noon yi?
Ndax misaali noon yi dañuy toxal ci model yi, songekat bi mën na leen defar ci modelu surrogate ba noppi song ci anam wu jaar yoon benn target buñu mënul saytu.
How are prompt-injection attacks related to image adversarial examples?
Prompt injection manipulates instructions or untrusted content in language-model systems; it is a security concern with a different mechanism from small pixel perturbations.
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