3 papers
cs.CL2026
Learning the Signature of Memorization in Autoregressive Language Models
David Ilić, Kostadin Cvejoski, David Stanojević +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 Stanojević, David Ilić +2
Modern Integrated Development Environments (IDEs) increasingly leverage Large Language Models (LLMs) to provide advanced features like code autocomplete. While powerful, training t…
cs.SE2024
Tool-Augmented LLMs as a Universal Interface for IDEs
Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova +2
Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to the complex programs encompassing thousands of functions to help…