3 papers
cs.CR2026
ReBound: Reuse-Aware Privacy For Interactive Decision Support
Nada Lahjouji, Shufan Zhang, Xi He +1
Differentially private decision support frameworks answer complex aggregate threshold queries with formal bounds on false negative and false positive rates, but treat each query in…
cs.LG2026
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents
Ashwin Gerard Colaco, Nada Lahjouji
Large language models, and the agents built on them, spend an ever-growing share of their compute and memory on remembering: caching attention keys and values, carrying long prompt…
cs.CR2026
Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents
Nada Lahjouji, Ashwin Gerard Colaco
Large language model agents increasingly query databases, search document collections, call external APIs, remember past interactions, and act on a user's behalf. As they move from…