Representation learning with function call graph transformations for malware open set recognition

13 May 2022

Papers citing "Representation learning with function call graph transformations for malware open set recognition"

8 / 8 papers shown

Title
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition Jingyun Jia P. Chan ViT 21 5 0 28 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou Shirui Pan SSL 111 155 0 12 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 307 2,347 0 04 Mar 2021
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
Learning a Neural-network-based Representation for Open Set Recognition Mehadi Hassen P. Chan 44 114 0 12 Feb 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 370 13,145 0 12 Mar 2015
Subgraph Matching Kernels for Attributed Graphs Nils Kriege Petra Mutzel 61 279 0 27 Jun 2012