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A Survey on Malware Detection with Graph Representation Learning

28 March 2023

Papers citing "A Survey on Malware Detection with Graph Representation Learning"

50 / 71 papers shown

Title
RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein Marina Zhang Owen Vallis Xinyu Jia Alexey Kurakin VLM 61 4 0 18 Feb 2023
The Role of Machine Learning in Cybersecurity Giovanni Apruzzese Pavel Laskov Edgardo Montes de Oca Wissam Mallouli Luis Brdalo Rapa A. Grammatopoulos Fabio Di Franco 73 137 0 20 Jun 2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection Giovanni Apruzzese Pavel Laskov A.T. Tastemirova 78 31 0 18 May 2022
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection Yafei Wu Jian Shi Peicheng Wang Dongrui Zeng Cong Sun 45 31 0 30 Jan 2022
Graph Neural Network-based Android Malware Classification with Jumping Knowledge Wai Weng Lo S. Layeghy Mohanad Sarhan Marcus Gallagher Marius Portmann 44 19 0 19 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 66 83 0 03 Jan 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 80 81 0 23 Dec 2021
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code Peng Xu 33 5 0 19 Dec 2021
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code Peng Xu Claudia Eckert Apostolis Zarras 63 4 0 19 Dec 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 114 10 0 08 Nov 2021
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights Omid Kargarnovin A. M. Sadeghzadeh R. Jalili AAML 98 7 0 27 Aug 2021
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks Yiming Hei Renyu Yang Hao Peng Lihong Wang Xiaolin Xu Jianwei Liu Hong Liu Jie Xu Lichao Sun 89 58 0 17 Aug 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 89 108 0 17 Jun 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 67 49 0 05 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 393 0 09 Feb 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 239 883 0 27 Jan 2021
A Large-Scale Database for Graph Representation Learning Scott Freitas Yuxiao Dong Joshua Neil Duen Horng Chau PINN GNN 94 60 0 16 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 149 563 0 09 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 178 1,243 0 04 Nov 2020
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection Lan Zhang Peng Liu Yoon-Ho Choi Ping Chen AAML 85 38 0 11 Sep 2020
Automating Botnet Detection with Graph Neural Networks Jiawei Zhou Zhiying Xu Alexander M. Rush Minlan Yu GNN 57 73 0 13 Mar 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 91 236 0 04 Feb 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 94 1,113 0 07 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 72 208 0 03 Sep 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 132 1,095 0 11 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 150 1,333 0 10 Mar 2019
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 59 131 0 11 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 801 8,579 0 03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 92 284 0 26 Dec 2018
A Review on The Use of Deep Learning in Android Malware Detection Abdelmonim Naway Yuancheng Li 39 55 0 26 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,534 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 163 1,337 0 11 Dec 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 201 260 0 03 Nov 2018
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 89 193 0 18 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,399 0 27 Sep 2018
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time Feargus Pendlebury Fabio Pierazzi Roberto Jordaney Johannes Kinder Lorenzo Cavallaro 65 359 0 20 Jul 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 60 41 0 15 Jun 2018
Android Malware Detection using Large-scale Network Representation Learning Rui Zhu Chenglin Li Di Niu Hongwen Zhang Husam Kinawi GNN 19 8 0 13 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,990 0 09 Jun 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 95 778 0 06 Jun 2018
Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation Victor Le Pochat Tom van Goethem Samaneh Tajalizadehkhoob Maciej Korczyński Wouter Joosen 74 654 0 04 Jun 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 70 73 0 27 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 161 1,071 0 21 May 2018
Microsoft Malware Classification Challenge Royi Ronen Marian Radu Corina Feuerstein E. Yom-Tov Mansour Ahmadi 65 381 0 22 Feb 2018
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples Felix Kreuk A. Barak Shir Aviv-Reuven Moran Baruch Benny Pinkas Joseph Keshet AAML 59 118 0 13 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 99 1,870 0 02 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 108 304 0 28 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 192 1,980 0 17 Sep 2017