Abhishek Singh

Affiliations:

Massachusetts Institute of Technology, Cambridge, MA, USA

According to our database¹, Abhishek Singh authored at least 40 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

A Survey of AI Agent Registry Solutions.

[BibT_eX]

[DOI]

CoRR, August, 2025

Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts.

[BibT_eX]

[DOI]

CoRR, July, 2025

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?

[BibT_eX]

[DOI]

CoRR, June, 2025

Co-Dream: Collaborative Dream Synthesis over Decentralized Models.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Overcoming Trust and Incentive Barriers in Decentralized AI.

[BibT_eX]

[DOI]

Abhishek Singh

Charles Lu

Ramesh Raskar

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2023

Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Censor by Noisy Sampling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Subhash Chandra Sadhu

CoRR, 2021

Can Self Reported Symptoms Predict Daily COVID-19 Cases?

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Abhishek Singh

Ramesh Raskar

Anna Lysyanskaya

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Verifiable Proof of Health using Public Key Cryptography.

[BibT_eX]

[DOI]

Abhishek Singh

Ramesh Raskar

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Proximity Sensing for Contact Tracing.

[BibT_eX]

[DOI]

CoRR, 2020

Comparing manual contact tracing and digital contact advice.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

SplitNN-driven Vertical Partitioning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Privacy in Deep Learning: A Survey.

[BibT_eX]

[DOI]

Fatemehsadat Mireshghallah

CoRR, 2020

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

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

[BibT_eX]

[DOI]

G. N. Srinivasa Prasanna

Ramesh Raskar

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Abhishek Singh

Timeline

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On csauthors.net:

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