SeqNet: An Efficient Neural Network for Automatic Malware Detection

SeqNet: An Efficient Neural Network for Automatic Malware Detection

8 May 2022

Papers citing "SeqNet: An Efficient Neural Network for Automatic Malware Detection"

13 / 13 papers shown

Title
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 79 158 0 01 Aug 2021
SIGL: Securing Software Installations Through Deep Graph Learning Xueyuan Han Xiao Yu Thomas Pasquier Ding Li J. Rhee James W. Mickens Margo Seltzer Haifeng Chen 53 49 0 26 Aug 2020
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices Ruitao Feng Sen Chen Xiaofei Xie Guozhu Meng Shang-Wei Lin Yang Liu 53 103 0 11 May 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 288 236 0 16 Mar 2020
DeepMAL -- Deep Learning Models for Malware Traffic Detection and Classification Gonzalo Marín P. Casas G. Capdehourat AAML 49 76 0 03 Mar 2020
On the Relationship between Self-Attention and Convolutional Layers Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi 107 534 0 08 Nov 2019
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 49 358 0 20 Jul 2018
Android Malware Detection using Deep Learning on API Method Sequences E. Karbab M. Debbabi A. Derhab D. Mouheb 36 54 0 25 Dec 2017
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 62 544 0 25 Oct 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,832 0 17 Apr 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 534 5,897 0 08 Jul 2016
Adversarial Perturbations Against Deep Neural Networks for Malware Classification Kathrin Grosse Nicolas Papernot Praveen Manoharan Michael Backes Patrick McDaniel AAML 64 418 0 14 Jun 2016
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 589 15,876 0 12 Nov 2013