5 papers
An X-ray and optical spectral study of the changing-look narrow-line Seyfert 1 2MASX J0413-0050
A. Vietri, A. Tortosa, D. IliÄ +12
Active galactic nuclei (AGN) showing dramatic spectral and flux variations, either due to changes in the accretion rate (changing-state, CS-AGN) of the supermassive black hole or i…
Powerful Training-Free Membership Inference Against Autoregressive Language Models
David IliÄ, David StanojeviÄ, Kostadin Cvejoski
Fine-tuned language models pose significant privacy risks, as they may memorize and expose sensitive information from their training data. Membership inference attacks (MIAs) provi…
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…
AGILE: an end-to-end Rubin-LSST simulation of AGNs, galaxies, and stars I. Software description and first data release
A. Viitanen, A. Bongiorno, I. Saccheo +37
Contemporary large-scale surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) and Euclid present an unprecedented discovery potential for studying A…
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…