DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking

27 July 2022

Papers citing "DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking"

20 / 20 papers shown

Title
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 77 220 0 27 Feb 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 125 867 0 11 Feb 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 64 145 0 02 Dec 2019
Defending Against Model Stealing Attacks with Adaptive Misinformation Sanjay Kariyappa Moinuddin K. Qureshi MLAU AAML 49 108 0 16 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 61 36 0 31 Oct 2019
Extraction of Complex DNN Models: Real Threat or Boogeyman? B. Atli S. Szyller Mika Juuti Samuel Marchal Nadarajah Asokan MLAU MIACV 54 45 0 11 Oct 2019
DAWN: Dynamic Adversarial Watermarking of Neural Networks S. Szyller B. Atli Samuel Marchal Nadarajah Asokan MLAU AAML 51 179 0 03 Jun 2019
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 68 56 0 22 May 2019
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 100 535 0 06 Dec 2018
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy En Li Zhi Zhou Xu Chen 51 328 0 20 Jun 2018
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations Taesung Lee Ben Edwards Ian Molloy D. Su AAML 62 41 0 31 May 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 61 679 0 13 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 57 144 0 06 Feb 2018
Adversarial Frontier Stitching for Remote Neural Network Watermarking Erwan Le Merrer P. Pérez Gilles Trédan MLAU AAML 76 338 0 06 Nov 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 122 609 0 15 Jan 2017
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 107 1,807 0 09 Sep 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,678 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014