Abhishek Singh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Vertical Partitioning

Privacy Preserving

Top Venues

ICDM (Workshops)

Publications

Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. CoRR (2024)
Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. CoRR (2024)
Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models. CoRR (2024)
Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS (2023)
Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar
Scalable Collaborative Learning via Representation Sharing. CoRR (2022)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. CoRR (2022)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. ECCV (13) (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) (2022)
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
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. CoRR (2021)
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
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. CoRR (2021)
Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. CoRR (2021)
Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar
Can Self Reported Symptoms Predict Daily COVID-19 Cases? CoRR (2021)
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
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. CoRR (2021)
Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR (2021)
Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. GISTAM (2021)
Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya
Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience. CoRR (2021)
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
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR (2021)
Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR (2021)
Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar
Automatic calibration of time of flight based non-line-of-sight reconstruction. CoRR (2021)
Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. FG (2021)
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
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR (2020)
Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
NoPeek: Information leakage reduction to share activations in distributed deep learning. ICDM (Workshops) (2020)
Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. CoRR (2020)
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
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. CoRR (2020)
Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
NoPeek: Information leakage reduction to share activations in distributed deep learning. CoRR (2020)
Abhishek Singh, Ramesh Raskar
Verifiable Proof of Health using Public Key Cryptography. CoRR (2020)
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
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR (2020)
Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma
Comparing manual contact tracing and digital contact advice. CoRR (2020)
Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar
Proximity Sensing for Contact Tracing. CoRR (2020)
Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. CoRR (2020)
Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh
Privacy in Deep Learning: A Survey. CoRR (2020)
Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar
SplitNN-driven Vertical Partitioning. CoRR (2020)
Ananya Gangavarapu, Ellie Daw, Abhishek Singh, Rohan Iyer, Gabriel Harp, Sam Zimmerman, Ramesh Raskar
Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems. CoRR (2020)
Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. CoRR (2020)
Priyanka Singh, Abhishek Singh, Gabriel Cojocaru, Praneeth Vepakomma, Ramesh Raskar
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic. CoRR (2020)
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar
Detailed comparison of communication efficiency of split learning and federated learning. CoRR (2019)
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. CoRR (2019)