activity
20202026
most citedDifferential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme

3 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.MA2026

Mosaic: Runtime-Efficient Multi-Agent Embodied Planning

Kunjal Panchal, Saayan Mitra, Sunav Choudhary +3

LLM-based multi-agent embodied planning remains impractical due to prohibitively high execution latency. We identify failed actions as the dominant bottleneck, stemming from two co…

cs.LG2026

CATTO: Balancing Preferences and Confidence in Language Models

Nisarg Parikh, Ananya Sai, Pannaga Shivaswamy +2

Large language models (LLMs) often make accurate next token predictions but their confidence in these predictions can be poorly calibrated: high-confidence predictions are frequent…

cs.LG2025

Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse

Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel +4

Recent advances in video-language models have enabled powerful applications like video retrieval, captioning, and assembly. However, executing such multi-stage pipelines efficientl…

cs.LG2025

Memory Savings at What Cost? A Study of Alternatives to Backpropagation

Kunjal Panchal, Sunav Choudhary, Yuriy Brun +1

Forward-mode automatic differentiation (FmAD) and zero-order (ZO) optimization are increasingly proposed as memory-efficient, backpropagation-free alternatives for large language m…

cs.LG2024

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

Kunjal Panchal, Nisarg Parikh, Sunav Choudhary +3

Finetuning large language models (LLMs) in federated learning (FL) settings has become increasingly important as it allows resource-constrained devices to finetune a model using pr…

cs.LG2022

Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing

Kunjal Panchal, Sunav Choudhary, Nisarg Parikh +2

Personalization in Federated Learning (FL) aims to modify a collaboratively trained global model according to each client. Current approaches to personalization in FL are at a coar…

cs.CV2020

Improved Algorithm for Seamlessly Creating Infinite Loops from a Video Clip, while Preserving Variety in Textures

Kunjal Panchal

This project implements the paper "Video Textures" by Szeliski. The aim is to create a "Moving Picture" or as we popularly call it, a GIF; which is "somewhere between a photograph…

cs.CV2020

Hierachical Delta-Attention Method for Multimodal Fusion

Kunjal Panchal

In vision and linguistics; the main input modalities are facial expressions, speech patterns, and the words uttered. The issue with analysis of any one mode of expression (Visual,…

cs.CR2020★ 3 cited

Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme

Kunjal Panchal

Honey Encryption is an approach to encrypt the messages using low min-entropy keys, such as weak passwords, OTPs, PINs, credit card numbers. The ciphertext is produces, when decryp…