In colab with Evgenii Kortukov,
@kotekjedi.bsky.social , Alexandra Volkova, Soroush Tabesh, Sebastian Lapuschkin, Wojciech Samek,
@mlcv-at-ista.bsky.social
Flying to #ICLR2026 ๐ง๐ท to present our paper, ASIDE: a parameter-free 90ยฐ rotation of data embeddings gives LLMs built-in instruction-data separation, cutting prompt injection rates without explicit safety training.
๐Thu Apr 23, 10:30, Pavilion 4, #3910
โฌ๏ธ Paper, Code, Models
Results: much higher instruction-data separation, stronger prompt injection robustness, no utility loss. Also, near-perfect linear separability on instructions vs data at every layer of the model.