171 citations · 880 across the 49 of their papers we have counts for
7 papers · 1 filter
Topological Interference Management with Confidential Messages
Jean de Dieu Mutangana, Ravi Tandon
The topological interference management (TIM) problem refers to the study of the K-user partially connected interference networks with no channel state information at the transmitt…
Adversarial Filters for Secure Modulation Classification
Alex Berian, Kory Staab, Noel Teku +3
Modulation Classification (MC) refers to the problem of classifying the modulation class of a wireless signal. In the wireless communications pipeline, MC is the first operation pe…
Asymmetric Leaky Private Information Retrieval
Islam Samy, Mohamed A. Attia, Ravi Tandon +1
Information-theoretic formulations of the private information retrieval (PIR) problem have been investigated under a variety of scenarios. Symmetric private information retrieval (…
Wireless Federated Learning with Local Differential Privacy
Mohamed Seif, Ravi Tandon, Ming Li
In this paper, we study the problem of federated learning (FL) over a wireless channel, modeled by a Gaussian multiple access channel (MAC), subject to local differential privacy (…
Communication Efficient Federated Learning over Multiple Access Channels
Wei-Ting Chang, Ravi Tandon
In this work, we study the problem of federated learning (FL), where distributed users aim to jointly train a machine learning model with the help of a parameter server (PS). In ea…
Latent-variable Private Information Retrieval
Islam Samy, Mohamed A. Attia, Ravi Tandon +1
In many applications, content accessed by users (movies, videos, news articles, etc.) can leak sensitive latent attributes, such as religious and political views, sexual orientatio…
Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
Bo Jiang, Ming Li, Ravi Tandon
In this paper, we study local information privacy (LIP), and design LIP based mechanisms for statistical aggregation while protecting users' privacy without relying on a trusted th…