3 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.GT2026
Blockspace Under Pressure: An Analysis of Spam MEV on High-Throughput Blockchains
Wenhao Wang, Aditya Saraf, Lioba Heimbach +2
On high-throughput, low-fee blockchains, a qualitatively new form of maximal extractable value (MEV) has emerged: searchers submit large volumes of speculative transactions, whose…
cs.GT2024
: A ZKP Market Mechanism
Wenhao Wang, Lulu Zhou, Aviv Yaish +3
Zero-knowledge proofs (ZKPs) are computationally demanding to generate. Their importance for applications like ZK-Rollups has prompted some to outsource ZKP generation to a market…