Secure Multiparty Interactive Communication with Unknown Noise Rate. - Abhinav Aggarwal; Varsha Dani; Nico Döttling; Thomas P. Hayes; Jared Saia (CoRR, 2016)

Secure one-way interactive communication. - Abhinav Aggarwal; Varsha Dani; Thomas P. Hayes; Jared Saia (CoRR, 2016)

Beating the Multiplicative Weights Update Algorithm. - Abhinav Aggarwal; José Abel Castellanos Joo; Diksha Gupta (CoRR, 2017)

A similarity criterion for sequential programs using truth-preserving partial functions. - Abhinav Aggarwal (CoRR, 2017)

REMOTEGATE: Incentive-Compatible Remote Configuration of Security Gateways. - Abhinav Aggarwal; Mahdi Zamani; Mihai Christodorescu (CoRR, 2017)

Distributed Computing with Channel Noise. - Abhinav Aggarwal; Varsha Dani; Thomas P. Hayes; Jared Saia (IACR Cryptol. ePrint Arch., 2017)

Sending a Message with Unknown Noise. - Abhinav Aggarwal; Varsha Dani; Thomas P. Hayes; Jared Saia (ICDCN, 2018)

Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis. - Cynthia Freeman; Jonathan Merriman; Abhinav Aggarwal; Ian Beaver; Abdullah Mueen (CoRR, 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)

Ignorance is Not Bliss: An Analysis of Central-Place Foraging Algorithms. - Abhinav Aggarwal; Diksha Gupta; William F. Vining; G. Matthew Fricke; Melanie E. Moses (IROS, 2019)

Multiparty Interactive Communication with Private Channels. - Abhinav Aggarwal; Varsha Dani; Thomas P. Hayes; Jared Saia (PODC, 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 (PODC, 2019)

Bootstrapping Public Blockchains Without a Trusted Setup. - Abhinav Aggarwal; Mahnush Movahedi; Jared Saia; Mahdi Zamani (PODC, 2019)

Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. - Abhinav Aggarwal; Shivam Kakkar; Pawan Kumar 001 (CoRR, 2019)

A Most Irrational Foraging Algorithm. - Abhinav Aggarwal; William F. Vining; Diksha Gupta; Jared Saia; Melanie E. Moses (CoRR, 2019)

On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging. - John Ericksen; Abhinav Aggarwal; Melanie E. Moses (CoRR, 2019)

A Scalable Algorithm for Multiparty Interactive Communication with Private Channels. - Abhinav Aggarwal; Varsha Dani; Thomas P. Hayes; Jared Saia (ICDCN, 2020)

LoCUS: A Multi-Robot Loss-Tolerant Algorithm for Surveying Volcanic Plumes. - John Ericksen; Abhinav Aggarwal; G. Matthew Fricke; Melanie E. Moses (IRC, 2020)

ANTS on a Plane. - Abhinav Aggarwal; Jared Saia (SIROCCO, 2020)

LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes. - John Erickson; Abhinav Aggarwal; G. Matthew Fricke; Melanie E. Moses (CoRR, 2020)

On Primes, Log-Loss Scores and (No) Privacy. - Abhinav Aggarwal; Zekun Xu; 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)

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. - Zekun Xu; Abhinav Aggarwal; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2020)

Research Challenges in Designing Differentially Private Text Generation Mechanisms. - Oluwaseyi Feyisetan; Abhinav Aggarwal; Zekun Xu; Nathanael Teissier (FLAIRS, 2021)

Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. - Nan Xu; Oluwaseyi Feyisetan; Abhinav Aggarwal; Zekun Xu; Nathanael Teissier (FLAIRS, 2021)

Label Inference Attacks from Log-loss Scores. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (ICML, 2021)

On a Utilitarian Approach to Privacy Preserving Text Generation. - Zekun Xu; Abhinav Aggarwal; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2021)

On Codomain Separability and Label Inference from (Noisy) Loss Functions. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2021)

Reconstructing Test Labels from Noisy Loss Functions. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (AISTATS, 2022)

Robust Actor Recognition in Entertainment Multimedia at Scale. - Abhinav Aggarwal; Yash Pandya; Lokesh A. Ravindranathan; Laxmi S. Ahire; Manivel Sethu; Kaustav Nandy (ACM Multimedia, 2022)

Balancing utility and scalability in metric differential privacy. - Jacob Imola; Shiva Prasad Kasiviswanathan; Stephen White; Abhinav Aggarwal; Nathanael Teissier (UAI, 2022)

Face image quality for actor profile image curation. - Yash Pandya; Abhinav Aggarwal; Manivel Sethu; Laxmi S. Ahire; Kaustav Nandy (WACV (Workshops), 2023)

A three-stage approach using deep learning for automated vehicle smart parking with license plate recognition. - Shaunak Gupta; Pushkar Garg; Abhinav Aggarwal; Gaurav Goyal; Kanu Goel (Int. J. Ad Hoc Ubiquitous Comput., 2025)