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Mubarak Shah

2 papers indexed

arxivcs.AI2026-07-18

TopoTuner: Topological Finetuning of Large Language Models

Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad, Baha Rababah, Santu Karmaker, Cuneyt G. Akcora, et al.

Full fine-tuning remains a strong way to adapt pretrained LLMs, but it updates all weights and can be expensive. LoRA reduces the number of trainable parameters, but it does not directly answer which pretrained components should be trained and which can be frozen during adaptatio…

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arxivcs.CVcs.AIcs.LG2026-07-01

The Illusion of High Utility in Safety Alignment of Text-to-Image Diffusion Models

Adeel Yousaf, Soumik Ghosh, James Beetham, Amrit Singh Bedi, Mubarak Shah

Safety alignment of text-to-image (T2I) diffusion models aims to suppress harmful generations while preserving utility on benign prompts. Recent methods often appear to deliver high safety with high utility, but this conclusion rests largely on coarse global utility metrics (e.g.…

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