Abhishek Singh

Affiliations:
  • Massachusetts Institute of Technology, Cambridge, MA, USA


According to our database1, Abhishek Singh authored at least 32 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models.
CoRR, 2024

2023
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Scalable Collaborative Learning via Representation Sharing.
CoRR, 2022

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Censor by Noisy Sampling.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning.
CoRR, 2021

Automatic calibration of time of flight based non-line-of-sight reconstruction.
CoRR, 2021

Can Self Reported Symptoms Predict Daily COVID-19 Cases?
CoRR, 2021

Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience.
CoRR, 2021

Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination.
CoRR, 2021

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms.
CoRR, 2021

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes.
CoRR, 2021

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies.
CoRR, 2021

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings.
CoRR, 2021

Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies.
Proceedings of the 7th International Conference on Geographical Information Systems Theory, 2021

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Verifiable Proof of Health using Public Key Cryptography.
CoRR, 2020

Digital Landscape of COVID-19 Testing: Challenges and Opportunities.
CoRR, 2020

Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems.
CoRR, 2020

Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic.
CoRR, 2020

Proximity Sensing for Contact Tracing.
CoRR, 2020

Comparing manual contact tracing and digital contact advice.
CoRR, 2020

PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic.
CoRR, 2020

SplitNN-driven Vertical Partitioning.
CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.
CoRR, 2020

Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API.
CoRR, 2020

Privacy in Deep Learning: A Survey.
CoRR, 2020

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic.
CoRR, 2020

NoPeek: Information leakage reduction to share activations in distributed deep learning.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest.
CoRR, 2019

Detailed comparison of communication efficiency of split learning and federated learning.
CoRR, 2019


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