3 papers
cs.LG2026
Inferring the Size of Large Language Models From Popular Text Memorization
Ivica Nikolic
The parameter counts of the most widely used large language models (LLMs) are often withheld by their developers, leaving model size -- a primary reference point for interpreting c…
cs.CR2025
Model Provenance Testing for Large Language Models
Ivica Nikolic, Teodora Baluta, Prateek Saxena
Large language models are increasingly customized through fine-tuning and other adaptations, creating challenges in enforcing licensing terms and managing downstream impacts. Track…
cs.CR2025
Fuzzing at Scale: The Untold Story of the Scheduler
Ivica Nikolic, Racchit Jain
How to search for bugs in 1,000 programs using a pre-existing fuzzer and a standard PC? We consider this problem and show that a well-designed strategy that determines which progra…