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TESTNAV achieves up to 2.15x faster exploration of compositional perturbation spaces while ensuring realistic and severe input failures are prioritized.
TestifAI can predict the robustness of deep learning models against complex perturbations with remarkable accuracy while slashing testing costs by up to 80%.
