3 papers
cs.LG2026
LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry
Sankar Behera, Dhruv Singh, Anshika Agnihotri +3
Structured pruning of large language models (LLMs) offers hardware-efficient compression, yet existing methods require calibration data, gradient computation, or large auxiliary po…
cs.CV2025
ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
Sankar Behera, Yamuna Prasad
Deep Neural Networks (DNNs) have achieved remarkable success but their large size poses deployment challenges. While various pruning techniques exist, many involve complex iterativ…
cs.CR2024
MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction
Mahendra Gurve, Sankar Behera, Satyadev Ahlawat +1
The rise of Machine Learning as a Service (MLaaS) has led to the widespread deployment of machine learning models trained on diverse datasets. These models are employed for predict…