Pappachan, P., Zhang, S., He, X., & Mehrotra, S. (2022). Don\textquoterightt Be a Tattle-Tale: Preventing Leakages Through Data Dependencies On Access Control Protected Data Proceedings of the VLDB Endowment (PVLDB), 15, 2437-2449. Retrieved from https://www.vldb.org/pvldb/vol15/p2437-pappachan.pdf
References
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Ilyas, I., Rekatsinas, T., Konda, V., Pound, J., Qi, X., & Soliman, M. A. (2022). Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Presented at the Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale conference. https://doi.org/10.1145/3514221.3526049
Jiang, Z., Yang, M. Y. R., Tsirlin, M., Tang, R., & Lin, J. (2022). Less Is More: Parameter-Free Text Classification With Gzip ArXiv, abs/2212.09410. https://doi.org/10.48550/arXiv.2212.09410
Li, H., Zhuang, S., Ma, X., Lin, J., & Zuccon, G. (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Presented at the Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Primary Tabs View conference. https://doi.org/10.1145/3572960.3572982
Xia, K., Zhao, W., Jolfaei, A., & Ozsu, T. (2022). Introduction to the Special Section on Edge/Fog Computing for Infectious Disease Intelligence ACM Transactions on Internet Technology (TOIT), 22, 1-63. https://doi.org/10.1145/3494119
Pradeep, R., Liu, Y., Zhang, X., Li, Y., Yates, A., & Lin, J. (2022). Squeezing Water From a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking Presented at the Squeezing Water From a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking conference. https://doi.org/10.1007/978-3-030-99736-6_44
Li, H., Zhuang, S., Ma, X., Lin, J., & Zuccon, G. (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Presented at the Pseudo-Relevance Feedback With Dense Retrievers in Pyserini conference. https://doi.org/10.1145/3572960.3572982
Zhang, D., Tahami, A. V., Abualsaud, M., & Smucker, M. (2022). Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search Presented at the Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search conference. https://doi.org/10.1145/3477495.3531812
Zheng, Z., Zheng, L., Langouri, M. A., Chiang, F., Golab, L., Szlichta, J., & Baskaran, S. (2022). Contextual Data Cleaning With Ontology Functional Dependencies Journal of Data and Information Quality, 14, 1-20. https://doi.org/10.1145/3524303
Shi, P., Song, L., Jin, L., Mi, H., Bai, H., Lin, J., & Yu, D. (2022). Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup Presented at the Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.388