Geumlek, J. D. (2020). Sampling from Distributions under Differential Privacy Notions. UC San Diego. ProQuest ID: Geumlek_ucsd_0033D_19410. Merritt ID: ark:/13030/m5p03hfr. Retrieved from https://escholarship.org/uc/item/1dt1m5v1
Balle, Borja, Gilles Barthe, Marco Gaboardi, and Joseph Geumlek (2019). "Privacy amplification by mixing and diffusion mechanisms." Advances in Neural Information Processing Systems,
Geumlek, Joseph, and Kamalika Chaudhuri (2019). "Profile-based privacy for locally private computations." IEEE International Symposium on Information Theory
Geumlek, Joseph, Shuang Song, and Kamalika Chaudhuri (2017). "Rényi differential privacy mechanisms for posterior sampling." Advances in Neural Information Processing Systems.
Foulds, James, Joseph Geumlek, Max Welling, and Kamalika Chaudhuri (2016). "On the theory and practice of privacy-preserving Bayesian data analysis." Conference on Uncertainty in Artificial Intelligence.
Meng, Ling Han, Joseph Geumlek, Holly Chu, Justin Hoogenstyrd, and Ernie Esser (2013). "Contextual point matching for video stabilization." SIAM Undergraduate Research Online. Volume 6.