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pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network
  Testing

pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing

23 January 2022
Jiasi Weng
Jian Weng
Gui Tang
Anjia Yang
Ming Li
Jia-Nan Liu
ArXivPDFHTML

Papers citing "pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing"

14 / 14 papers shown
Title
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
Tianyu Zhang
Shen Dong
O. D. Kose
Yanning Shen
Yuhang Zhang
FaML
53
0
0
12 May 2025
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
Mohammad Maheri
Hamed Haddadi
Alex Davidson
71
0
0
27 Apr 2025
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
Yancheng Zhang
Mengxin Zheng
Xun Chen
Jingtong Hu
W. Shi
Lei Ju
Yan Solihin
Qian Lou
51
0
0
16 Apr 2025
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Zhizhi Peng
Taotao Wang
Chonghe Zhao
Guofu Liao
Zibin Lin
Y. Liu
Bin Cao
Long Shi
Qing Yang
Shengli Zhang
59
2
0
25 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav
Evan Monroe Laufer
Dan Boneh
Kamalika Chaudhuri
91
0
0
06 Feb 2025
Privacy-Preserving Model and Preprocessing Verification for Machine Learning
Privacy-Preserving Model and Preprocessing Verification for Machine Learning
Wenbiao Li
Anisa Halimi
Xiaoqian Jiang
Jaideep Vaidya
Erman Ayday
AAML
53
0
0
14 Jan 2025
zkLLM: Zero Knowledge Proofs for Large Language Models
zkLLM: Zero Knowledge Proofs for Large Language Models
Haochen Sun
Jason Li
Hongyang Zhang
ALM
36
22
0
24 Apr 2024
Trustless Audits without Revealing Data or Models
Trustless Audits without Revealing Data or Models
Suppakit Waiwitlikhit
Ion Stoica
Yi Sun
Tatsunori Hashimoto
Daniel Kang
MLAU
21
6
0
06 Apr 2024
FairProof : Confidential and Certifiable Fairness for Neural Networks
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav
A. Chowdhury
Dan Boneh
Kamalika Chaudhuri
MLAU
43
7
0
19 Feb 2024
Verifiable evaluations of machine learning models using zkSNARKs
Verifiable evaluations of machine learning models using zkSNARKs
Tobin South
Alexander Camuto
Shrey Jain
Shayla Nguyen
Robert Mahari
Christian Paquin
Jason Morton
Alex Pentland
MLAU
ALM
37
11
0
05 Feb 2024
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
Hao Sun
Tonghe Bai
Jason Li
Hongyang R. Zhang
39
19
0
30 Jul 2023
A Generative Framework for Low-Cost Result Validation of Machine
  Learning-as-a-Service Inference
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference
Abhinav Kumar
Miguel A. Guirao Aguilera
R. Tourani
Satyajayant Misra
AAML
21
0
0
31 Mar 2023
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Daniel Kang
Tatsunori Hashimoto
Ion Stoica
Yi Sun
LRM
11
39
0
17 Oct 2022
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
99
235
0
16 Sep 2019
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