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Pathcheck
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Our research papers and articles

PreviousFrequently Asked Questions (FAQs)

Last updated 3 years ago

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Privacy

Digital Contact Tracing

Equitable Vaccine Distribution and Coordination

Vaccine Credentials

COVID-19 Testing

Pandemic Prediction

Split Learning and Federated Learning

Differential 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
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
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
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes
Paper card-based vs application-based vaccine credentials: a comparison
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
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
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
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