3 papers
cs.CL2025
How Semantically Stable Are LLM Refusals? Measuring Confusion in Local Safety Boundaries
Riad Ahmed Anonto, Md Labid Al Nahiyan, Md Tanvir Hassan
As safety alignment becomes standard in large language models, refusal behavior has become an important part of model reliability. However, models may still reject benign prompts,…
cs.CR2025
Identifying and Addressing User-level Security Concerns in Smart Homes Using "Smaller" LLMs
Hafijul Hoque Chowdhury, Riad Ahmed Anonto, Sourov Jajodia +2
With the rapid growth of smart home IoT devices, users are increasingly exposed to various security risks, as evident from recent studies. While seeking answers to know more on tho…
cs.CV2025
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection
MD Sadik Hossain Shanto, Mahir Labib Dihan, Souvik Ghosh +8
This report presents our approach for the IEEE SP Cup 2025: Deepfake Face Detection in the Wild (DFWild-Cup), focusing on detecting deepfakes across diverse datasets. Our methodolo…