2 papers
cs.CL2026
Learning the Signature of Memorization in Autoregressive Language Models
David IliÄ, Kostadin Cvejoski, David StanojeviÄ +1
All prior membership inference attacks for fine-tuned language models use hand-crafted heuristics (e.g., loss thresholding, Min-K\%, reference calibration), each bounded by the des…
cs.CR2026
Protecting Private Code in IDE Autocomplete using Differential Privacy
Evgeny Grigorenko, David StanojeviÄ, David IliÄ +2
Modern Integrated Development Environments (IDEs) increasingly leverage Large Language Models (LLMs) to provide advanced features like code autocomplete. While powerful, training t…