3 papers
cs.CV2026
Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GAN
Yash Thesia, Meera Suthar
Recent advancements in Low-Light Image Enhancement (LLIE) have focused heavily on Diffusion Probabilistic Models, which achieve high perceptual quality but suffer from significant…
cs.LG2026
DiMEx: Breaking the Cold Start Barrier in Data-Free Model Extraction via Latent Diffusion Priors
Yash Thesia, Meera Suthar
Model stealing attacks pose an existential threat to Machine Learning as a Service (MLaaS), allowing adversaries to replicate proprietary models for a fraction of their training co…
cs.CV2025
Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training
Sumit Mamtani, Yash Thesia
Fine-grained visual classification aims to recognize objects belonging to many subordinate categories of a supercategory, where appearance alone often fails to distinguish highly s…