32 citations · 35 across the 22 of their papers we have counts for
7 papers · 1 filter
Exact Privacy--Distortion Design of Support-Constrained Randomized Response
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
Full-support local randomizers can incur unnecessary reporting distortion on ordered alphabets. We study randomized response whose output is restricted to a radius- neighborhood…
Residual-Information Generalization Bounds Under Selective Privacy: Extended Version
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
Information-theoretic generalization bounds usually control dependence on the task sample, whereas selective privacy may constrain only a different, private coordinate. We study i.…
Sparse Kernel Mechanisms for Locally Differentially Private Discrete Channels
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
We study sparse locally private discrete mechanisms generated by a nonnegative kernel and an input-dependent admissible output support. The support set is intentionally small relat…
Minimax Quantile Lower Bounds for Interactive Statistical Decision Making with Privacy
Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering +1
Minimax risk and regret are expectation-based criteria and do not capture rare but consequential failures. To address this concern, we develop a -explicit minimax-quantile theor…
Sparse Discrete Laplace and Gaussian Mechanisms under Local Differential Privacy
Amirreza Zamani, Sajad Daei, Parastoo Sadeghi +1
We study sparse locally private channels of the form where the admissible output set is allowed to depend on the private input …
Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits
Amirreza Zamani, Sajad Daei, Parastoo Sadeghi +1
We study an information-theoretic privacy mechanism design problem, where an agent observes useful data that is arbitrarily correlated with sensitive data , and design discl…
Privacy-Utility Trade-offs Under Multi-Level Point-Wise Leakage Constraints
Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund
An information-theoretic privacy mechanism design is studied, where an agent observes useful data which is correlated with the private data . The agent wants to reveal the i…