3 papers
cs.CR2026
Evaluating the Impact of Personalization in Conversational Cybersecurity Assistants
Lea Duesterwald, Anika Jain, Shreya Kochar +1
Users increasingly turn to Large Language Models to answer a variety of questions, including cybersecurity questions. We study how personalization strategies can help improve the e…
cs.LG2026
Extractable Memorization From First Principles
A. Feder Cooper, Marika Swanberg, Jamie Hayes +5
Recent work on extractable memorization in LLMs suffers from two contrasting validity problems. Some studies overstate extraction, e.g., relying on sequences too short to distingui…
cs.CL2026
Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
A. Feder Cooper, Mark A. Lemley, Christopher De Sa +6
Recent work shows that standard greedy-decoding extraction methods for quantifying memorization in LLMs miss how extraction risk varies across sequences. Probabilistic extraction -…