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Semantic-preserving Reinforcement Learning Attack Against Graph Neural
  Networks for Malware Detection
v1v2v3 (latest)

Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection

IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
11 September 2020
Lan Zhang
Peng Liu
Yoon-Ho Choi
Ping Chen
    AAML
ArXiv (abs)PDFHTML

Papers citing "Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection"

12 / 12 papers shown
Title
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
Md Ajwad Akil
A. Li
Imtiaz Karim
Arun Iyengar
Ashish Kundu
Vinny Parla
Elisa Bertino
171
0
0
12 Jul 2025
On the Security Risks of ML-based Malware Detection Systems: A Survey
On the Security Risks of ML-based Malware Detection Systems: A Survey
Ping He
Yuhao Mao
Changjiang Li
Lorenzo Cavallaro
Ting Wang
Shouling Ji
350
0
0
16 May 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural NetworksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Xuewen Dong
Jiachen Li
Shujun Li
Zhichao You
Qiang Qu
Yaroslav Kholodov
Yulong Shen
AAML
269
1
0
12 Mar 2025
MASKDROID: Robust Android Malware Detection with Masked Graph
  Representations
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsInternational Conference on Automated Software Engineering (ASE), 2024
Jingnan Zheng
Jiaohao Liu
An Zhang
Jun Zeng
Ziqi Yang
Zhenkai Liang
Tat-Seng Chua
AAML
145
6
0
29 Sep 2024
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for
  Evading Learning-based Windows Malware Detection in the Wild
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
Xiang Ling
Zhiyu Wu
Bin Wang
Wei Deng
Jingzheng Wu
Shouling Ji
Tianyue Luo
Yanjun Wu
AAML
206
7
0
03 Jul 2024
Problem space structural adversarial attacks for Network Intrusion
  Detection Systems based on Graph Neural Networks
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Andrea Venturi
Dario Stabili
Mirco Marchetti
AAML
174
2
0
18 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
262
12
0
11 Jan 2024
Survey of Malware Analysis through Control Flow Graph using Machine
  Learning
Survey of Malware Analysis through Control Flow Graph using Machine LearningInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023
Shaswata Mitra
Stephen Torri
Sudip Mittal
181
12
0
15 May 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation LearningACM Computing Surveys (ACM Comput. Surv.), 2023
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
247
50
0
28 Mar 2023
Edge Deep Learning Model Protection via Neuron Authorization
Edge Deep Learning Model Protection via Neuron AuthorizationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Jinyin Chen
Haibin Zheng
Tianming Liu
Rongchang Li
Yao Cheng
Xuhong Zhang
S. Ji
FedML
130
1
0
22 Mar 2023
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using
  Reinforcement Learning
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement LearningConference on Computer and Communications Security (CCS), 2022
Vasudev Gohil
Hao Guo
Satwik Patnaik
Jeyavijayan
Jeyavijayan Rajendran
151
31
0
26 Aug 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
360
148
0
16 May 2022
1