Safety
Adversarial testing
Adversarial testing probes models for edge cases.
Quick definition
Adversarial testing probes models for edge cases.
- Category: Safety
- Focus: risk reduction
- Used in: Filtering sensitive or unsafe requests.
What it means
It improves safety and robustness. In safety workflows, adversarial testing often shapes risk reduction.
How it works
Safety systems combine policy rules, classifiers, and human feedback to reduce harmful outputs.
Why it matters
Safety concepts reduce harmful outputs and protect users.
Common use cases
- Filtering sensitive or unsafe requests.
- Adding guardrails around tools and actions.
- Redacting private information in logs and outputs.
Example
Test prompt injection attempts.
Pitfalls and tips
Over-blocking can frustrate users while under-blocking increases risk. Balance safety with usability.
In BoltAI
In BoltAI, this relates to safe outputs and content handling.
