17 citations · 52 across the 18 of their papers we have counts for
3 papers · 1 filter
When Safety Speaks a Language: A Mechanistic Analysis of Safety-Language Identity Entanglement in LLMs
Apoorva Upadhyaya, Sandipan Sikdar
Safety alignment of large language models (LLMs) degrades across languages, yet the internal mechanism driving this asymmetry remains poorly understood. Our work, therefore, presen…
REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference
Anurag Sharma, Sai Teja Chunchu, Prasenjit Mitra +2
Language models trained for clinical disease inference are trained on patient data, which may include sensitive and private information, and data owners may request the removal of…
Towards Sensitivity-Aware Language Models
Dren Fazlija, Iyiola E. Olatunji, Daniel Kudenko +1
With LLMs increasingly deployed in corporate data management, it is crucial to ensure that these models do not leak sensitive information. In the context of corporate data manageme…