Abhinav Aggarwal

According to our database, Abhinav Aggarwal authored at least 32 papers between 2016 and 2023.

Collaborative distances:

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

2023

Face image quality for actor profile image curation.

Yash Pandya, Abhinav Aggarwal, Manivel Sethu, Laxmi S. Ahire, Kaustav Nandy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

2022

Balancing utility and scalability in metric differential privacy.

Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Robust Actor Recognition in Entertainment Multimedia at Scale.

Abhinav Aggarwal, Yash Pandya, Lokesh A. Ravindranathan, Laxmi S. Ahire, Manivel Sethu, Kaustav Nandy

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Reconstructing Test Labels from Noisy Loss Functions.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Codomain Separability and Label Inference from (Noisy) Loss Functions.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

On a Utilitarian Approach to Privacy Preserving Text Generation.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

Label Inference Attacks from Log-loss Scores.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

Proceedings of the 38th International Conference on Machine Learning, 2021

Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Research Challenges in Designing Differentially Private Text Generation Mechanisms.

Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020

Differentially Private Adversarial Robustness Through Randomized Perturbations.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

CoRR, 2020

On Primes, Log-Loss Scores and (No) Privacy.

Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020

LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes.

John Erickson, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses

CoRR, 2020

ANTS on a Plane.

Abhinav Aggarwal, Jared Saia

Proceedings of the Structural Information and Communication Complexity, 2020

LoCUS: A Multi-Robot Loss-Tolerant Algorithm for Surveying Volcanic Plumes.

John Ericksen, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses

Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

A Scalable Algorithm for Multiparty Interactive Communication with Private Channels.

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

2019

On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging.

John Ericksen, Abhinav Aggarwal, Melanie E. Moses

CoRR, 2019

A Most Irrational Foraging Algorithm.

Abhinav Aggarwal, William F. Vining, Diksha Gupta, Jared Saia, Melanie E. Moses

CoRR, 2019

Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid.

Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar

CoRR, 2019

Bootstrapping Public Blockchains Without a Trusted Setup.

Abhinav Aggarwal, Mahnush Movahedi, Jared Saia, Mahdi Zamani

Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

On Site Fidelity and the Price of Ignorance in Swarm Robotic Central Place Foraging Algorithms.

Abhinav Aggarwal, G. Matthew Fricke, Diksha Gupta, Melanie E. Moses

Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

Multiparty Interactive Communication with Private Channels.

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

Ignorance is Not Bliss: An Analysis of Central-Place Foraging Algorithms.

Abhinav Aggarwal, Diksha Gupta, William F. Vining, G. Matthew Fricke, Melanie E. Moses

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

A Simple Reduction from State Machine Replication to Binary Agreement in Partially Synchronous or Asynchronous Networks.

Abhinav Aggarwal, Yue Guo

IACR Cryptol. ePrint Arch., 2018

Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis.

Cynthia Freeman, Jonathan Merriman, Abhinav Aggarwal, Ian Beaver, Abdullah Mueen

CoRR, 2018

Sending a Message with Unknown Noise.

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

Proceedings of the 19th International Conference on Distributed Computing and Networking, 2018

2017

Distributed Computing with Channel Noise.

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

IACR Cryptol. ePrint Arch., 2017

REMOTEGATE: Incentive-Compatible Remote Configuration of Security Gateways.

Abhinav Aggarwal, Mahdi Zamani, Mihai Christodorescu

CoRR, 2017

A similarity criterion for sequential programs using truth-preserving partial functions.

Abhinav Aggarwal

CoRR, 2017

Beating the Multiplicative Weights Update Algorithm.

Abhinav Aggarwal, José Abel Castellanos Joo, Diksha Gupta

CoRR, 2017

2016

Secure one-way interactive communication.

Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia

CoRR, 2016

Secure Multiparty Interactive Communication with Unknown Noise Rate.

Abhinav Aggarwal, Varsha Dani, Nico Döttling, Thomas P. Hayes, Jared Saia

CoRR, 2016