3 papers
physics.flu-dyn2026
Extreme-Scale Super-Resolution of Homogeneous Turbulence from a Single Realization
Arth Sojitra, Muhammad Abid, Omer San
Homogeneous turbulent flows exhibit recurring multiscale structures across spatially separated regions, suggesting that a single flow realization may contain sufficient information…
cs.CV2026
DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders
Syed Irfan Ali Meerza, Oktay Ozturk, Amir Sadovnik +1
AI models are increasingly trained on personal images scraped from social media and public platforms, often without consent, leading to serious privacy violations, such as unauthor…
cs.CR2026
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs
Syed Irfan Ali Meerza, Feiyi Wang, Jian Liu
Given the growing reliance on private data in training Large Language Models (LLMs), Federated Learning (FL) combined with Parameter-Efficient Fine-Tuning (PEFT) has garnered signi…