A. Zamani

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- $t$ 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…

cs.LG2026

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 $δ$ -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 $M (y ∣ x) \propto w (x, y) 1 {y \in S (x)},$ where the admissible output set $S (x)$ is allowed to depend on the private input $x$ …

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 $Y$ that is arbitrarily correlated with sensitive data $X$ , 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 $Y$ which is correlated with the private data $X$ . The agent wants to reveal the i…

An Information Geometric Approach to Fairness With Equalized Odds Constraint

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

We study the statistical design of a fair mechanism that attains equalized odds, where an agent uses some useful data (database) $X$ to solve a task $T$ . Since both $X$ and $T$ are…

On Information Theoretic Fairness With A Bounded Point-Wise Statistical Parity Constraint: An Information Geometric Approach

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

In this paper, we study an information-theoretic problem of designing a fair representation under a bounded point-wise statistical (demographic) parity constraint. More specificall…

Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making

Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering +1

Minimax risk and regret focus on expectation, missing rare failures critical in safety-critical bandits and reinforcement learning. Minimax quantiles capture these tails. Three str…

Information-Theoretic Fairness with A Bounded Statistical Parity Constraint

Amirreza Zamani, Abolfazl Changizi, Ragnar Thobaben +1

In this paper, we study an information-theoretic problem of designing a fair representation that attains bounded statistical (demographic) parity. More specifically, an agent uses…

An Information Geometric Approach to Local Information Privacy with Applications to Max-lift and Local Differential Privacy

Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund

We study an information-theoretic privacy mechanism design, where an agent observes useful data $Y$ and wants to reveal the information to a user. Since the useful data is correlat…

Private Semantic Communications with Separate Blind Encoders

Amirreza Zamani, Mikael Skoglund

We study a semantic communication problem with a privacy constraint where an encoder consists of two separate parts, e.g., encoder 1 and encoder 2. The first encoder has access to…

Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design

Amirreza Zamani, Mikael Skoglund

This paper provides an overview of a problem in information-theoretic privacy mechanism design, addressing two scenarios in which private data is either observable or hidden. In ea…

eess.SP2024

Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution

Sajad Daei, Amirreza Zamani, Saikat Chatterjee +2

Integrated sensing and communications (ISAC) is a promising component of 6G networks, fusing communication and radar technologies to facilitate new services. Additionally, the use…

Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage

Amirreza Zamani, Mikael Skoglund

A statistical cache-aided compression problem with a privacy constraint is studied, where a server has access to a database of $N$ files, $(Y_{1}, ..., Y_{N})$ , each of size $F$ bits and…

On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity

Amirreza Zamani, Borja Rodríguez-Gálvez, Mikael Skoglund

In this article, we study the fundamental limits in the design of fair and/or private representations achieving perfect demographic parity and/or perfect privacy through the lens o…

Multi-Task Private Semantic Communication

Amirreza Zamani, Sajad Daei, Tobias J. Oechtering +1

We study a multi-task private semantic communication problem, in which an encoder has access to an information source arbitrarily correlated with some latent private data. A user h…

Private Variable-Length Coding with Non-zero Leakage

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

A private compression design problem is studied, where an encoder observes useful data $Y$ , wishes to compress it using variable length code and communicates it through an unsecure…

cs.IT2023★ 2 cited

Private Variable-Length Coding with Zero Leakage

Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz +1

A private compression design problem is studied, where an encoder observes useful data $Y$ , wishes to compress it using variable length code and communicates it through an unsecure…

Private Variable-Length Coding with Sequential Encoder

Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz +1

A multi-user private data compression problem is studied. A server has access to a database of $N$ files, $(Y_{1}, ..., Y_{N})$ , each of size $F$ bits and is connected to an encoder. The…

New Privacy Mechanism Design With Direct Access to the Private Data

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

The design of a statistical signal processing privacy problem is studied where the private data is assumed to be observable. In this work, an agent observes useful data $Y$ , which…