DeepObfuscation: Securing the Structure of Convolutional Neural Networks
via Knowledge Distillation

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation

27 June 2018

Michael R. Lyu

Irwin King

Papers citing "DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation"

6 / 6 papers shown

Title
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 55 19 0 22 Apr 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 74 108 0 16 Jun 2022
Preventing Distillation-based Attacks on Neural Network IP Mahdieh Grailoo Zain Ul Abideen Mairo Leier S. Pagliarini 33 1 0 01 Apr 2022
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 29 9 0 09 May 2021
Deep-Lock: Secure Authorization for Deep Neural Networks Manaar Alam Sayandeep Saha Debdeep Mukhopadhyay S. Kundu 22 21 0 13 Aug 2020
A framework for the extraction of Deep Neural Networks by leveraging public data Soham Pal Yash Gupta Aditya Shukla Aditya Kanade S. Shevade V. Ganapathy FedML MLAU MIACV 41 56 0 22 May 2019