activity
20242026
collaborators

7 papers

cs.AR2026

When Proofs Meet Hardware: Comparing NTT and SumCheck in Zero-Knowledge Systems

Jianqiao Mo, Alhad Daftardar, Barath GaneshKumar +5

In the ZKP community, it has long been discussed that the SumCheck protocol is asymptotically more efficient than the Number Theoretic Transform (NTT), requiring only arithm…

cs.AR2026

zkPHIRE: A Programmable Accelerator for ZKPs over HIgh-degRee, Expressive Gates

Alhad Daftardar, Jianqiao Mo, Joey Ah-kiow +3

Zero-Knowledge Proofs (ZKPs) have emerged as a powerful tool for secure and privacy-preserving computation. ZKPs enable one party to convince another of a statement's validity with…

eess.SP2026

A Spatial Array for Spectrally Agile Wireless Processing

Ali Rasteh, Andrew Hennessee, Ishaan Shivhare +3

Massive MIMO is a cornerstone of next-generation wireless communication, offering significant gains in capacity, reliability, and energy efficiency. However, to meet emerging deman…

cs.AR2025

MTU: The Multifunction Tree Unit for Accelerating Zero-Knowledge Proofs

Jianqiao Mo, Alhad Daftardar, Joey Ah-Kiow +4

Zero-Knowledge Proofs (ZKPs) are critical for privacy-preserving techniques and verifiable computation. Many ZKP protocols rely on key kernels such as the SumCheck protocol and Mer…

cs.AR2025

Need for zkSpeed: Accelerating HyperPlonk for Zero-Knowledge Proofs

Alhad Daftardar, Jianqiao Mo, Joey Ah-kiow +4

Zero-Knowledge Proofs (ZKPs) are rapidly gaining importance in privacy-preserving and verifiable computing. ZKPs enable a proving party to prove the truth of a statement to a verif…

cs.LG2025

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference

Patrick Yubeaton, Tareq Mahmoud, Shehab Naga +8

As they become more capable, large language models (LLMs) have continued to rapidly increase in size. This has exacerbated the difficulty in running state of the art LLMs on small,…