5 papers
Differentially Private Consistent Release of Counting Queries
Borzoo Rassouli, Morteza Varasteh
We study the problem of releasing counting-query outputs through a stochastic mechanism that is both consistent and \((ε,δ)\)-differentially private. Consistency requires the rel…
Differential Privacy over Hamming Codes
Borzoo Rassouli, Morteza Varasteh
We consider the transmission of the outputs of counting queries over a binary symmetric channel (BSC), where Hamming codes are employed as the channel encoder. Since the channel is…
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
Morteza Varasteh
A novel form of inference attack in vertical federated learning (VFL) is proposed, where two parties collaborate in training a machine learning (ML) model. Logistic regression is c…
Privacy via Modulation Rotation and Inter-Symbol Interference
Morteza Varasteh, Pegah Sharifi
Two physical-layer mechanisms for achieving user-side differential privacy in communication systems are proposed. Focusing on binary phase-shift keying (BPSK) modulation, different…
Channel Coding meets Sequence Design via Machine Learning for Integrated Sensing and Communications
Sundar Aditya, Morteza Varasteh, Bruno Clerckx
For integrated sensing and communications, an intriguing question is whether information-bearing channel-coded signals can be reused for sensing - specifically ranging. This questi…