2 papers
cs.LG2026
Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
James R. M. Black, Moritz S. Hanke, Aaron Maiwald +3
Novel deep learning architectures are increasingly being applied to biological data, including genetic sequences. These models, referred to as genomic language models (gLMs), have…
cs.AI2026
Securing Dual-Use Pathogen Data of Concern
Doni Bloomfield, Allison Berke, Moritz S. Hanke +6
Training data is an essential input into creating competent artificial intelligence (AI) models. AI models for biology are trained on large volumes of data, including data related…