4 papers
JaiLIP: Jailbreaking Vision-Language Models via Loss Guided Image Perturbation
Md Jueal Mia, M. Hadi Amini
Vision-Language Models (VLMs) have remarkable abilities in generating multimodal reasoning tasks. However, potential misuse or safety alignment concerns of VLMs have increased sign…
An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
Md Jueal Mia, M. Hadi Amini
Federated Learning lends itself as a promising paradigm in enabling distributed learning for autonomous vehicles applications and ensuring data privacy while enhancing and refining…
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
Md Jueal Mia, M. Hadi Amini
Federated Learning has emerged as a leading approach for decentralized machine learning, enabling multiple clients to collaboratively train a shared model without exchanging privat…
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
Hojat Allah Salehi, Md Jueal Mia, S. Sandeep Pradhan +2
Federated learning (FL) has emerged as a promising framework for distributed machine learning. It enables collaborative learning among multiple clients, utilizing distributed data…