VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)

1 July 2021

Papers citing "VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)"

6 / 6 papers shown

Title
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 62 19 0 09 Aug 2018
CryptoDL: Deep Neural Networks over Encrypted Data Ehsan Hesamifard Hassan Takabi Mehdi Ghasemi 55 381 0 14 Nov 2017
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud Zahra Ghodsi Tianyu Gu S. Garg 76 161 0 30 Jun 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 109 1,371 0 18 May 2017
Towards Verified Artificial Intelligence Sanjit A. Seshia Dorsa Sadigh S. Shankar Sastry 79 203 0 27 Jun 2016
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 179 1,171 0 18 Dec 2014