Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Srinivas Devadas

Srinivas Devadas

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2ML×1AI×1Architecture×1NLP×1Algorithms×1Prog. Lang.×1

Frequent co-authors

Murat Bilgehan Ertan1×
Xiaochen Zhu1×
Phuong Ha Nguyen1×
Marten van Dijk1×
Jianming Tong1×
Jingtian Dang1×

Research Timeline

2026
Enabling AI ASICs for Zero Knowledge Proof

The paper introduces MORPH, a framework that reformulates Zero-Knowledge Proof (ZKP) computations to efficiently utilize AI ASICs like TPUs, achieving up to 10x higher throughput on NTT.

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization

The paper introduces PACZero, a novel PAC-private fine-tuning mechanism that achieves usable utility for large language models while providing strong resistance against membership-inference attacks.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.CRRecentMay 7, 2026

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization

Murat Bilgehan Ertan, Xiaochen Zhu, Phuong Ha Nguyen, Marten van Dijk +1 more

The paper introduces PACZero, a novel PAC-private fine-tuning mechanism that achieves usable utility for large language models while providing strong resistance against membership-inference attacks.

View →
cs.ARcs.CLcs.CRRecentApr 20, 2026

Enabling AI ASICs for Zero Knowledge Proof

Jianming Tong, Jingtian Dang, Simon Langowski, Tianhao Huang +5 more

The paper introduces MORPH, a framework that reformulates Zero-Knowledge Proof (ZKP) computations to efficiently utilize AI ASICs like TPUs, achieving up to 10x higher throughput on NTT.

View →