2 papers
cs.CR2026
Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation
Ben Merbaum, Mohammad Amin Raeisi, Wenhao Wang +3
Open-source large language models (LLMs) are increasingly competitive with closed-source models while offering transparency and the ability to run inference without exposing user i…
cs.DS2025
New Parallel and Streaming Algorithms for Directed Densest Subgraph
Slobodan Mitrović, Theodore Pan, Mahdi Qaempanah +1
Finding dense subgraphs is a fundamental problem with applications to community detection, clustering, and data mining. Our work focuses on finding approximate densest subgraphs in…