Papers by Ali Al-Lawati
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects (2026.acl-long)
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| Challenge: | Current disinformation detection systems are predominantly developed and evaluated on Standard American English (SAE) . however, their robustness to dialectal variation is unexplored. |
| Approach: | They propose a benchmark for evaluating disinformation detection robustness across 50 English dialects . they use multi-value's linguistically-grounded transformations to introduce D-CUBE (Dialectal Disinformation Detection Corpus) |
| Outcome: | The proposed model outperforms zero-shot LLMs in human-written dialects while AI-generated content remains stable. |
Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks (2026.findings-acl)
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| Challenge: | Multimodal retrieval-augmented generation (mRAG) pipelines are becoming more popular for vision-centric tasks. |
| Approach: | They propose to use a visual asset as a trigger to leak data from a model prompt. |
| Outcome: | The proposed pipelines can connect private datasets and improve model performance, but they can leak private information from them. |