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Penn State University
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QuerySmasher shatters the accuracy barrier for differentially private data release, outperforming existing methods by strategically decomposing complex queries into manageable, orthogonal sub-problems.
Existing spatio-temporal video grounding methods choke on long videos, but this new autoregressive transformer efficiently handles them by processing frames sequentially and using memory banks with selection strategies.
