Smith, Adam, Song, Shuang, and Thakurta, Abhradeep. The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space. Retrieved from https://par.nsf.gov/biblio/10211929. Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020) .

Smith, Adam, Song, Shuang, & Thakurta, Abhradeep. The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space. Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), (). Retrieved from https://par.nsf.gov/biblio/10211929.

Smith, Adam, Song, Shuang, and Thakurta, Abhradeep. "The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space". Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10211929.

@article{osti_10211929,
place = {Country unknown/Code not available}, title = {The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space}, url = {https://par.nsf.gov/biblio/10211929}, abstractNote = {}, journal = {Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020)}, author = {Smith, Adam and Song, Shuang and Thakurta, Abhradeep}, editor = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.} }