Model-Reuse Attacks on Deep Learning Systems

Model-Reuse Attacks on Deep Learning Systems

2 December 2018

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Papers citing "Model-Reuse Attacks on Deep Learning Systems"

10 / 60 papers shown

Title
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 64 11 0 17 Jul 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 49 8 0 08 Jun 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 134 46 0 08 Apr 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 102 156 0 01 Mar 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Yansong Gao Chang Xu Derui Wang Shiping Chen Damith C. Ranasinghe Surya Nepal AAML 98 821 0 18 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 75 40 0 06 Feb 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems Tianyu Du S. Ji Jinfeng Li Qinchen Gu Ting Wang R. Beyah AAML 88 130 0 23 Jan 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 240 295 0 02 Dec 2018
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks Davide Maiorca Battista Biggio Giorgio Giacinto AAML 80 47 0 02 Nov 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 158 1,943 0 02 Jul 2018