Our research papers and articles

Privacy

• Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic

• Verifiable Proof of Health using Public Key Cryptography

• PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic

Digital Contact Tracing

• Comparing manual contact tracing and digital contact advice

• Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing

• Proximity Interference with Wifi-Colocation during the COVID-19 Pandemic

• Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies

• COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers

• Contact Tracing: Holistic Solution beyond Bluetooth

• Contact Tracing to Manage COVID19 Spread – Balancing Personal Privacy and Public Health

• The Architecture of Trust in Contact Tracing

• Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API

Equitable Vaccine Distribution and Coordination

• Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination

• Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic

• Vaccination Worldwide: Strategies, Distribution and Challenges

• The Public Health Impact of Delaying a Second Dose of the BNT162b2 or mRNA-1273 COVID-19 Vaccine

Vaccine Credentials

• MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes

• Paper card-based vs application-based vaccine credentials: a comparison

COVID-19 Testing

• Clinical landscape of covid-19 testing: Difficult choices

• COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings

• Digital Landscape of COVID-19 Testing: Challenges and Opportunities

Pandemic Prediction

• COVID-driven Risk Profile

• Can self-reported symptoms predict daily COVID-19 cases?

• COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

• Analysis of Tata-1mg data for Covid-19 2nd wave prediction in India

• Estimating Active Cases of COVID-19

Split Learning and Federated Learning

• Distributed learning of deep neural network over multiple agents, Accepted in Journal of Network and Computer Applications 116

• DISCO: Dynamic and Invariant Sensitive Channel Obfuscation, Accepted to CVPR 2021

• FedML: A Research Library and Benchmark for Federated Machine Learning, (Baidu Best Paper Award at NeurIPS-SpicyFL 2020)

• NoPeek: Information leakage reduction to share activations in distributed deep learning

• Split learning for health: Distributed deep learning without sharing raw patient data, Accepted to ICLR 2019 Workshop on AI for social good

• Detailed comparison of communication efficiency of split learning and federated learning

• ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries,

• Split Learning for collaborative deep learning in healthcare

Differential Privacy

• Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval

• DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, PPML-NeurIPS 2020