Abhishek Singh

48 papers A* 3B 1Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey of AI Agent Registry Solutions. CoRR Aditi Singh, Abul Ehtesham, Ramesh Raskar, Mahesh Lambe, Pradyumna Chari, Jared James Grogan, Abhishek Singh, Saket Kumar
2025	J	`jnl`	Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts. CoRR Ramesh Raskar, Pradyumna Chari, John Zinky, Mahesh Lambe, Jared James Grogan, Sichao Wang, Rajesh Ranjan, Rekha Singhal, Shailja Gupta, Robert Lincourt, Raghu Bala, Aditi Joshi, Abhishek Singh, Ayush Chopra, Dimitris Stripelis, Bhuwan B, Sumit Kumar, Maria Gorskikh
2025	A*	`conf`	Co-Dream: Collaborative Dream Synthesis over Decentralized Models. AAAI Abhishek Singh, Gauri Gupta, Yichuan Shi, Alex Dang, Ritvik Kapila, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar
2025	—	`conf`	Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches. CogMI Aditi Singh, Abul Ehtesham, Mahesh Lambe, Jared James Grogan, Abhishek Singh, Saket Kumar, Luca Muscariello, Vijoy Pandey, Guillaume Sauvage De Saint Marc, Pradyumna Chari, Ramesh Raskar
2025	—	`conf`	SONAR Web: A Platform-Agnostic Framework for Real-Time Decentralized Learning Across Heterogeneous Edge Clients. FedEdge-AI@MobiCom Joyce Yuan, Brian Le, Kathryn Le, Yichuan Shi, Abhishek Singh, Rishi Sharma, Angel Patricio, Ramesh Raskar
2025	J	`jnl`	Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents? CoRR Ramesh Raskar, Pradyumna Chari, Jared James Grogan, Mahesh Lambe, Robert Lincourt, Raghu Bala, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
2025	—	`conf`	Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents? TPS-ISA Ramesh Raskar, Pradyumna Chari, Mahesh Lambe, Robert Lincourt, Raghu Bala, Aditi Joshi, Jared James Grogan, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
2024	J	`jnl`	CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models. CoRR Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar
2024	J	`jnl`	Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. CoRR Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar
2024	—	`conf`	DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. ECCV (59) Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar
2024	J	`jnl`	DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. CoRR Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar
2024	—	`conf`	Overcoming Trust and Incentive Barriers in Decentralized AI. CogMI Abhishek Singh, Charles Lu, Ramesh Raskar
2024	—	`conf`	SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. ECCV (76) Abhishek Singh, Vivek Sharma, Rohan Sukumaran, John Mose, Jeffrey Chiu, Justin Yu, Ramesh Raskar
2023	A*	`conf`	Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	—	`conf`	Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	—	`conf`	Learning to Censor by Noisy Sampling. ECCV (13) Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Learning to Censor by Noisy Sampling. CoRR Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Scalable Collaborative Learning via Representation Sharing. CoRR Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar
2021	J	`jnl`	AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	J	`jnl`	Automatic calibration of time of flight based non-line-of-sight reconstruction. CoRR Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar
2021	J	`jnl`	COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. CoRR 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
2021	J	`jnl`	COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR 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
2021	J	`jnl`	Can Self Reported Symptoms Predict Daily COVID-19 Cases? CoRR Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar
2021	A*	`conf`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	J	`jnl`	MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. CoRR 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
2021	J	`jnl`	Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. CoRR 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
2021	B	`conf`	NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. FG Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar
2021	J	`jnl`	Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience. CoRR Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya
2021	—	`conf`	Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. GISTAM Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
2021	J	`jnl`	Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. CoRR Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
2020	J	`jnl`	Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. CoRR Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti
2020	J	`jnl`	Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. CoRR 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
2020	J	`jnl`	Comparing manual contact tracing and digital contact advice. CoRR Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma
2020	J	`jnl`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. CoRR Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
2020	J	`jnl`	Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR 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
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR 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
2020	—	`conf`	NoPeek: Information leakage reduction to share activations in distributed deep learning. ICDM (Workshops) Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
2020	J	`jnl`	NoPeek: Information leakage reduction to share activations in distributed deep learning. CoRR Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
2020	J	`jnl`	PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic. CoRR Priyanka Singh, Abhishek Singh, Gabriel Cojocaru, Praneeth Vepakomma, Ramesh Raskar
2020	J	`jnl`	Privacy in Deep Learning: A Survey. CoRR Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh
2020	J	`jnl`	Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. CoRR Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar
2020	J	`jnl`	Proximity Sensing for Contact Tracing. CoRR Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar
2020	J	`jnl`	SplitNN-driven Vertical Partitioning. CoRR Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar
2020	J	`jnl`	Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems. CoRR Ananya Gangavarapu, Ellie Daw, Abhishek Singh, Rohan Iyer, Gabriel Harp, Sam Zimmerman, Ramesh Raskar
2020	J	`jnl`	Verifiable Proof of Health using Public Key Cryptography. CoRR Abhishek Singh, Ramesh Raskar
2019	J	`jnl`	Detailed comparison of communication efficiency of split learning and federated learning. CoRR Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar
2019	J	`jnl`	Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. CoRR Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar