Abhishek Singh

According to our database, Abhishek Singh authored at least 35 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar

CoRR, 2024

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

Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar

CoRR, 2024

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images.

Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2024, 2024

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks.

Abhishek Singh, Vivek Sharma, Rohan Sukumaran, John Mose, Jeffrey Chiu, Justin Yu, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

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.

Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar

CoRR, 2022

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

Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Censor by Noisy Sampling.

Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

CoRR, 2021

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

Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar

CoRR, 2021

Can Self Reported Symptoms Predict Daily COVID-19 Cases?

Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar

CoRR, 2021

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

Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya

CoRR, 2021

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

Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Anshuman Sharma, Ishaan Singh, Haris Nazir, Colin Kang, Saurish Srivastava, Parth Patwa, Abhishek Singh, Priyanshi Katiyar, Vitor Pamplona, Ramesh Raskar

CoRR, 2021

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

Rohan Sukumaran, Parth Patwa, T. V. Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar

CoRR, 2021

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

Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuraman TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar

CoRR, 2021

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

Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar

CoRR, 2021

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

Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar

CoRR, 2021

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

Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar

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.

Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar

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.

Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

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

2020

Verifiable Proof of Health using Public Key Cryptography.

Abhishek Singh, Ramesh Raskar

CoRR, 2020

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

Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar

CoRR, 2020

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

Ananya Gangavarapu, Ellie Daw, Abhishek Singh, Rohan Iyer, Gabriel Harp, Sam Zimmerman, Ramesh Raskar

CoRR, 2020

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

Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar

CoRR, 2020

Proximity Sensing for Contact Tracing.

Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar

CoRR, 2020

Comparing manual contact tracing and digital contact advice.

Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma

CoRR, 2020

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

Priyanka Singh, Abhishek Singh, Gabriel Cojocaru, Praneeth Vepakomma, Ramesh Raskar

CoRR, 2020

SplitNN-driven Vertical Partitioning.

Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar

CoRR, 2020

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

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

CoRR, 2020

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

Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti

CoRR, 2020

Privacy in Deep Learning: A Survey.

Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh

CoRR, 2020

Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic.

Ramesh Raskar, Isabel Schunemann, Rachel Barbar, Kristen Vilcans, Jim Gray, Praneeth Vepakomma, Suraj Kapa, Andrea Nuzzo, Rajiv Gupta, Alex Berke, Dazza Greenwood, Christian Keegan, Shriank Kanaparti, Robson Beaudry, David Stansbury, Beatriz Botero Arcila, Rishank Kanaparti, Vitor F. Pamplona, Francesco M. Benedetti, Alina Clough, Riddhiman Das, Kaushal Jain, Khahlil Louisy, Greg Nadeau, Vitor Pamplona, Steve Penrod, Yasaman Rajaee, Abhishek Singh, Greg Storm, John Werner

CoRR, 2020

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

Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar

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

2019

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

Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar

CoRR, 2019

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

Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar

CoRR, 2019