TamperNN: Efficient Tampering Detection of Deployed Neural Nets

TamperNN: Efficient Tampering Detection of Deployed Neural Nets

1 March 2019

Erwan Le Merrer

Gilles Tredan

Papers citing "TamperNN: Efficient Tampering Detection of Deployed Neural Nets"

8 / 8 papers shown

Title
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 53 144 0 06 Feb 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 108 1,407 0 08 Dec 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 92 2,627 0 23 Oct 2017
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving Bichen Wu Alvin Wan F. Iandola Peter H. Jin Kurt Keutzer 85 513 0 04 Dec 2016
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 77 473 0 11 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 102 1,803 0 09 Sep 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016