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Abhishek Singh 0005
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Abhishek Singh — disambiguation page
- Abhishek Singh 0001 — University of Maryland, Baltimore County, MD, USA
- Abhishek Singh 0002 — Apple, Inc. (and 1 more)
- Abhishek Singh 0003
— University of Oslo, Department of Informatics, Norway
- Abhishek Singh 0004
- Abhishek 0003
- Abhishek Singh 0007
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2020 – today
- 2024
- [c9]Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar:
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. ECCV (59) 2024: 144-161 - [c8]Abhishek Singh, Vivek Sharma, Rohan Sukumaran, John Mose, Jeffrey Chiu, Justin Yu, Ramesh Raskar:
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. ECCV (76) 2024: 214-232 - [i31]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 abs/2402.15968 (2024) - [i30]Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar:
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. CoRR abs/2403.13199 (2024) - [i29]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 abs/2405.10376 (2024) - 2023
- [c7]Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS 2023 - 2022
- [c6]Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar:
Learning to Censor by Noisy Sampling. ECCV (13) 2022: 378-395 - [c5]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: 499-517 - [i28]Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar:
Learning to Censor by Noisy Sampling. CoRR abs/2203.12192 (2022) - [i27]Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR abs/2203.13204 (2022) - [i26]Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar:
Scalable Collaborative Learning via Representation Sharing. CoRR abs/2211.10943 (2022) - 2021
- [c4]Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR 2021: 12125-12135 - [c3]Praneeth Vepakomma
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. FG 2021: 1-8 - [c2]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: 75-81 - [i25]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
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR abs/2101.01693 (2021) - [i24]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 abs/2101.02556 (2021) - [i23]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 abs/2101.07931 (2021) - [i22]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 abs/2101.10266 (2021) - [i21]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 abs/2102.09372 (2021) - [i20]Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya:
Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience. CoRR abs/2103.01754 (2021) - [i19]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 abs/2105.08321 (2021) - [i18]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 abs/2105.10603 (2021) - [i17]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 abs/2112.01637 (2021) - 2020
- [c1]Praneeth Vepakomma
NoPeek: Information leakage reduction to share activations in distributed deep learning. ICDM (Workshops) 2020: 933-942 - [i16]Ramesh Raskar, Isabel Schunemann, Rachel Barbar, Kristen Vilcans, Jim Gray, Praneeth Vepakomma, Suraj Kapa, Andrea Nuzzo
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. CoRR abs/2003.08567 (2020) - [i15]Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh:
Privacy in Deep Learning: A Survey. CoRR abs/2004.12254 (2020) - [i14]Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti:
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. CoRR abs/2007.02317 (2020) - [i13]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 abs/2007.13518 (2020) - [i12]Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar:
SplitNN-driven Vertical Partitioning. CoRR abs/2008.04137 (2020) - [i11]Priyanka Singh, Abhishek Singh, Gabriel Cojocaru, Praneeth Vepakomma, Ramesh Raskar:
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic. CoRR abs/2008.06648 (2020) - [i10]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 abs/2008.07325 (2020) - [i9]Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar:
NoPeek: Information leakage reduction to share activations in distributed deep learning. CoRR abs/2008.09161 (2020) - [i8]Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar:
Proximity Sensing for Contact Tracing. CoRR abs/2009.04991 (2020) - [i7]Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar:
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. CoRR abs/2009.12699 (2020) - [i6]Ananya Gangavarapu, Ellie Daw, Abhishek Singh, Rohan Iyer, Gabriel Harp
Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems. CoRR abs/2009.13300 (2020) - [i5]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
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR abs/2012.01772 (2020) - [i4]Abhishek Singh, Ramesh Raskar:
Verifiable Proof of Health using Public Key Cryptography. CoRR abs/2012.02885 (2020) - [i3]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 abs/2012.11025 (2020)
2010 – 2019
- 2019
- [i2]Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar:
Detailed comparison of communication efficiency of split learning and federated learning. CoRR abs/1909.09145 (2019) - [i1]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 abs/1909.12734 (2019)
Coauthor Index
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last updated on 2024-12-11 21:41 CET by the dblp team
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