5 papers
Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score
Abdullah Ahmad Khan, Hamid Laga, Ferdous Sohel
Machine unlearning in Vision-Language Models (VLMs) is required for compliance with the General Data Protection Regulation (GDPR), yet current evaluation practices are inconsistent…
DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning
Abdullah Ahmad Khan, Ferdous Sohel
Machine unlearning aims to remove specified training data to satisfy privacy regulations such as GDPR. However, existing evaluations assume identical precision at unlearning and de…
Certified vs. Empirical Adversarial Robust-ness via Hybrid Convolutions with Attention Stochasticity
Joy Dhar, Song Xia, Manish Kumar Pandey +5
We introduce Hybrid Convolutions with Attention Stochasticity (HyCAS), an adversarial defense that narrows the long-standing gap between provable robustness under L2 certificates a…
MultiShadow: Multi-Object Shadow Generation for Image Compositing via Diffusion Model
Waqas Ahmed, Dean Diepeveen, Ferdous Sohel
Realistic shadow generation is crucial for achieving seamless image compositing, yet existing methods primarily focus on single-object insertion and often fail to generalize when m…
GNF: Gaussian Neural Fields for Multidimensional Signal Representation and Reconstruction
Abdelaziz Bouzidi, Hamid Laga, Hazem Wannous +1
Neural fields have emerged as a powerful framework for representing continuous multidimensional signals such as images and videos, 3D and 4D objects and scenes, and radiance fields…