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Close Enough to Be Wrong: An Adversarial Evaluation of a Semantic Cache

Close Enough to Be Wrong: An Adversarial Evaluation of a Semantic Cache Abstract. Every project in this portfolio got an adversarial eval suite; this one's system under attack is the cache itself — the two-tier lookup (exact match, then embedding similarity at a 0.90 threshold) that decides whether…

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  1. 2026-11-08 05:06 · DEV Community — Machine Learning
    Close Enough to Be Wrong: An Adversarial Evaluation of a Semantic Cache

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