MadryLab/robustness
quality grade C, 52 out of 100A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
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Guardrails, PII redaction, prompt-injection defense, interpretability and offensive/defensive AI security.
Signals: ai-safety, ai-security, guardrails, prompt-injection, jailbreak, llm-security, interpretability, explainable-ai
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A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
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