Abhinav Aggarwal

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 34

Top Topics

Mahalanobis Metric

Differential Privacy

Text Generation

Differentially Private

Top Venues

IACR Cryptol. ePrint Arch.

FLAIRS Conference

Publications

Yash Pandya, Abhinav Aggarwal, Manivel Sethu, Laxmi S. Ahire, Kaustav Nandy
Face image quality for actor profile image curation. WACV (Workshops) (2023)
Abhinav Aggarwal, Yash Pandya, Lokesh A. Ravindranathan, Laxmi S. Ahire, Manivel Sethu, Kaustav Nandy
Robust Actor Recognition in Entertainment Multimedia at Scale. ACM Multimedia (2022)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Reconstructing Test Labels from Noisy Loss Functions. AISTATS (2022)
Jacob Imola, Shiva Prasad Kasiviswanathan, Stephen White, Abhinav Aggarwal, Nathanael Teissier
Balancing utility and scalability in metric differential privacy. UAI (2022)
Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Research Challenges in Designing Differentially Private Text Generation Mechanisms. FLAIRS Conference (2021)
Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. FLAIRS Conference (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
On Codomain Separability and Label Inference from (Noisy) Loss Functions. CoRR (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Label Inference Attacks from Log-loss Scores. CoRR (2021)
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
Label Inference Attacks from Log-loss Scores. ICML (2021)
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
On a Utilitarian Approach to Privacy Preserving Text Generation. CoRR (2021)
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. CoRR (2020)
Abhinav Aggarwal, Jared Saia
ANTS on a Plane. SIROCCO (2020)
Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia
A Scalable Algorithm for Multiparty Interactive Communication with Private Channels. ICDCN (2020)
John Ericksen, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses
LoCUS: A Multi-Robot Loss-Tolerant Algorithm for Surveying Volcanic Plumes. IRC (2020)
Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Research Challenges in Designing Differentially Private Text Generation Mechanisms. CoRR (2020)
Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
Differentially Private Adversarial Robustness Through Randomized Perturbations. CoRR (2020)
Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
On Primes, Log-Loss Scores and (No) Privacy. CoRR (2020)
John Erickson, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses
LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes. CoRR (2020)
Abhinav Aggarwal, Mahnush Movahedi, Jared Saia, Mahdi Zamani
Bootstrapping Public Blockchains Without a Trusted Setup. PODC (2019)
Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia
Multiparty Interactive Communication with Private Channels. PODC (2019)
John Ericksen, Abhinav Aggarwal, Melanie E. Moses
On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging. CoRR (2019)
Abhinav Aggarwal, Diksha Gupta, William F. Vining, G. Matthew Fricke, Melanie E. Moses
Ignorance is Not Bliss: An Analysis of Central-Place Foraging Algorithms. IROS (2019)
Abhinav Aggarwal, G. Matthew Fricke, Diksha Gupta, Melanie E. Moses
On Site Fidelity and the Price of Ignorance in Swarm Robotic Central Place Foraging Algorithms. PODC (2019)
Abhinav Aggarwal, William F. Vining, Diksha Gupta, Jared Saia, Melanie E. Moses
A Most Irrational Foraging Algorithm. CoRR (2019)
Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar
Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. CoRR (2019)
Abhinav Aggarwal, Yue Guo
A Simple Reduction from State Machine Replication to Binary Agreement in Partially Synchronous or Asynchronous Networks. IACR Cryptol. ePrint Arch. 2018 (2018)
Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia
Sending a Message with Unknown Noise. ICDCN (2018)
Cynthia Freeman, Jonathan Merriman, Abhinav Aggarwal, Ian Beaver, Abdullah Mueen
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis. CoRR (2018)
Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia
Distributed Computing with Channel Noise. IACR Cryptol. ePrint Arch. 2017 (2017)
Abhinav Aggarwal, Mahdi Zamani, Mihai Christodorescu
REMOTEGATE: Incentive-Compatible Remote Configuration of Security Gateways. CoRR (2017)
Abhinav Aggarwal, José Abel Castellanos Joo, Diksha Gupta
Beating the Multiplicative Weights Update Algorithm. CoRR (2017)
Abhinav Aggarwal
A similarity criterion for sequential programs using truth-preserving partial functions. CoRR (2017)
Abhinav Aggarwal, Varsha Dani, Thomas P. Hayes, Jared Saia
Secure one-way interactive communication. CoRR (2016)
Abhinav Aggarwal, Varsha Dani, Nico Döttling, Thomas P. Hayes, Jared Saia
Secure Multiparty Interactive Communication with Unknown Noise Rate. CoRR (2016)