23 citations · 69 across the 18 of their papers we have counts for
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quant-ph2022★ 8 cited
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani, Mina Doosti, Elham Kashefi
Differential privacy provides a theoretical framework for processing a dataset about users, in a way that the output reveals a minimal information about any single user. Such n…
quant-ph2022★ 3 cited
Quantum Local Differential Privacy and Quantum Statistical Query Model
Armando Angrisani, Elham Kashefi
Quantum statistical queries provide a theoretical framework for investigating the computational power of a learner with limited quantum resources. This model is particularly releva…