Security testing that probes the pipeline and model: Within | AIGP
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Security testing that probes the pipeline and model: Within the training-and-testing plan, which test type

AIGP Understanding How to Govern AI Development Medium

Security testing targets adversarial manipulation such as data poisoning, directly addressing maliciously injected samples.

The question

A team ingests training data from an open community feed and worries that an attacker could inject manipulated samples to corrupt the model's behavior. Within the training-and-testing plan, which test type most directly targets this threat?

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  1. Validation testing on a clean holdout set that confirms the model's accuracy generalizes beyond the training data it was directly optimized upon.
    Validation checks generalization on clean data; it can miss poisoned behavior that only triggers on attacker-chosen inputs.
  2. Security testing that probes the pipeline and model for data-poisoning and other adversarial manipulation, verifying resistance before the model is trusted.
    Security testing is the plan element aimed at adversarial threats such as data poisoning, directly addressing the manipulated-sample concern.
  3. Interpretability testing that makes individual predictions explainable to reviewers, so the reasoning behind each automated decision can be understood and challenged.
    Interpretability aids understanding of decisions but is not designed to detect deliberately injected poisoned training samples.
  4. Performance testing that measures throughput and latency under production load, confirming the system responds quickly enough in operation.
    Performance testing measures speed and scalability, which has no bearing on resistance to data-poisoning attacks.
The trap
Assuming clean-data validation or performance testing will catch maliciously injected training samples.

How to remember it

Security testing targets adversarial manipulation such as data poisoning, directly addressing maliciously injected samples.

How many of these would you get right?

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