52 citations · 194 across the 17 of their papers we have counts for
30 papers
Unsupervised Change Detection using DRE-CUSUM
Sudarshan Adiga, Ravi Tandon
This paper presents DRE-CUSUM, an unsupervised density-ratio estimation (DRE) based approach to determine statistical changes in time-series data when no knowledge of the pre-and p…
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
Sennur Ulukus, Salman Avestimehr, Michael Gastpar +3
Most of our lives are conducted in the cyberspace. The human notion of privacy translates into a cyber notion of privacy on many functions that take place in the cyberspace. This a…
FAID Diversity via Neural Networks
Xin Xiao, Nithin Raveendran, Bane Vasic +2
Decoder diversity is a powerful error correction framework in which a collection of decoders collaboratively correct a set of error patterns otherwise uncorrectable by any individu…
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
Mohamed Seif, Wei-Ting Chang, Ravi Tandon
In this paper, we study the problem of federated learning over a wireless channel with user sampling, modeled by a Gaussian multiple access channel, subject to central and local di…
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 (…