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JoinEquiv exposes 29 hidden logical bugs in popular DBMSs, revealing critical flaws in INNER JOIN optimizations that could undermine data integrity.
Achieving differential privacy in multi-objective submodular maximization opens new avenues for handling sensitive data without sacrificing performance.
Current AI agent evaluations are like testing a car only on a straight track; HAAF offers a holistic "wind tunnel" to reveal hidden risks in complex, real-world scenarios.