AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation.

@inproceedings{yao-2021-amppere, author = {Yixiang Yao and Tanmay Ghai and Srivatsan Ravi and Pedro A. Szekely}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {2394--2403}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482318}, doi = {https://doi.org/10.1145/3459637.3482318} }