Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

22 August 2017

Papers citing "Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection"

50 / 50 papers shown

Title
BinPool: A Dataset of Vulnerabilities for Binary Security Analysis Sima Arasteh Georgios Nikitopoulos Wei-Cheng Wu Nicolaas Weideman Aaron Portnoy Mukund Raghothaman Christophe Hauser 29 0 0 27 Apr 2025
Frontier AI's Impact on the Cybersecurity Landscape Wenbo Guo Yujin Potter Tianneng Shi Zhun Wang Andy Zhang Dawn Song 52 2 0 07 Apr 2025
UniASM: Binary Code Similarity Detection without Fine-tuning Yeming Gu Hui Shu Fei Kang Fan Hu 72 10 0 21 Feb 2025
On the Role of Pre-trained Embeddings in Binary Code Analysis Alwin Maier Felix Weissberg Konrad Rieck 43 0 0 12 Feb 2025
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection Litao Li Steven H. H. Ding Andrew Walenstein P. Charland Benjamin C. M. Fung 34 0 0 03 Apr 2024
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs Guoqiang Chen Xiuwei Shang Shaoyin Cheng Yanming Zhang Weiming Zhang Neng H. Yu N. Yu 94 2 0 27 Mar 2024
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection Hao Wang Zeyu Gao Chao Zhang Mingyang Sun Yuchen Zhou Han Qiu Xiangwei Xiao 39 9 0 29 Feb 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning Yuqiang Sun Daoyuan Wu Yue Xue Han Liu Wei Ma Lyuye Zhang Miaolei Shi Yingjiu Li ELM 84 47 0 29 Jan 2024
FASER: Binary Code Similarity Search through the use of Intermediate Representations Josh Collyer Tim Watson Iain Phillips 29 6 0 05 Oct 2023
kTrans: Knowledge-Aware Transformer for Binary Code Embedding Wenyu Zhu Hao Wang Yuchen Zhou Jiaming Wang Zihan Sha Zeyu Gao Chao Zhang 32 10 0 24 Aug 2023
Binary Code Similarity Detection Zian Liu 7 8 0 06 Aug 2023
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs Zian Liu Z. Zhang Siqi Ma Dongxi Liu Jinchao Zhang Chao Chen Shi-xiang Liu Muhammad Ejaz Ahmed Yang Xiang 16 2 0 02 Aug 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee Dongmin Hyun Gyoung S. Na Sungwon Kim Junseok Lee Chanyoung Park 40 23 0 29 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 27 20 0 26 Mar 2023
Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques Peihua Zhang Chenggang Wu Ming-Hong Peng Kai Zeng Ding Yu Yuanming Lai Yan Kang Wen Wang Zhe Wang 22 7 0 27 Jan 2023
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge Shouguo Yang Chaopeng Dong Yang Xiao Yiran Cheng Zhiqiang Shi Zhi Li Limin Sun 22 30 0 02 Jan 2023
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware Binbin Zhao S. Ji Jiacheng Xu Yuan Tian Qiuyang Wei ... Chenyang Lyu Xuhong Zhang Changting Lin Jingzheng Wu R. Beyah 41 8 0 28 Dec 2022
Privacy-Preserved Neural Graph Similarity Learning Yupeng Hou Wayne Xin Zhao Yaliang Li Ji-Rong Wen 35 1 0 21 Oct 2022
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 55 3 0 11 Oct 2022
jTrans: Jump-Aware Transformer for Binary Code Similarity Hao Wang Wenjie Qu Gilad Katz Wenyu Zhu Zeyu Gao Han Qiu Jianwei Zhuge Chao Zhang 15 114 0 25 May 2022
Binary Diffing as a Network Alignment Problem via Belief Propagation Elie Mengin Fabrice Rossi 10 4 0 31 Dec 2021
Predicting Patch Correctness Based on the Similarity of Failing Test Cases Haoye Tian Yinghua Li Weiguo Pian Abdoul Kader Kaboré Kui Liu Andrew Habib Jacques Klein Tegawende F. Bissyande 39 29 0 28 Jul 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection Zhenguang Liu Peng Qian Xiaoyang Wang Yuan Zhuang Lin Qiu Xun Wang 27 205 0 24 Jul 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 38 81 0 30 Jun 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks Suyoung Lee Wonho Song Suman Jana M. Cha Sooel Son AAML 21 13 0 18 Jun 2021
Semantic-aware Binary Code Representation with BERT Hyungjoon Koo Soyeon Park Daejin Choi Taesoo Kim 25 23 0 10 Jun 2021
DeepHunter: A Graph Neural Network Based Approach for Robust Cyber Threat Hunting Renzheng Wei Lijun Cai Aimin Yu Dan Meng 24 31 0 20 Apr 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 21 13 0 24 Feb 2021
PalmTree: Learning an Assembly Language Model for Instruction Embedding Xuezixiang Li Qu Yu Heng Yin 24 144 0 21 Jan 2021
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity Kexin Pei Zhou Xuan Junfeng Yang Suman Jana Baishakhi Ray 24 88 0 16 Dec 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems Tuomas P. Oikarinen Daniel C. Hannah Sohrob Kazerounian BDL GNN 25 29 0 26 Oct 2020
XDA: Accurate, Robust Disassembly with Transfer Learning Kexin Pei Jonas Guan David Williams-King Junfeng Yang Suman Jana 9 58 0 02 Oct 2020
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis Yuping Li Jiyong Jang Xinming Ou 16 5 0 14 Apr 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model Steve Kommrusch Théo Barollet L. Pouchet 30 6 0 17 Feb 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Using Deep Learning to Solve Computer Security Challenges: A Survey Yoon-Ho Choi Peng Liu Zitong Shang Haizhou Wang Zhilong Wang Lan Zhang Junwei Zhou Qingtian Zou AAML 24 33 0 12 Dec 2019
A Survey of Binary Code Similarity I. Haq Juan Caballero 10 133 0 25 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 11 748 0 08 Sep 2019
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 19 44 0 08 Jul 2019
ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks Yun Shen Gianluca Stringhini 19 62 0 29 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 66 513 0 29 Apr 2019
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 49 82 0 05 Apr 2019
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing Yuwei Li S. Ji Chenyang Lv Yuan Chen Jianhai Chen Qinchen Gu Chunming Wu 22 49 0 04 Jan 2019
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation Willem Blokland Jinyuan Jia Kishansingh Rajput 21 51 0 04 Dec 2018
Superion: Grammar-Aware Greybox Fuzzing Junjie Wang Bihuan Chen Lei Wei Yang Liu 45 239 0 04 Dec 2018
SAFE: Self-Attentive Function Embeddings for Binary Similarity Luca Massarelli Giuseppe Antonio Di Luna Fabio Petroni Leonardo Querzoni R. Baldoni 16 175 0 13 Nov 2018
Applications of Graph Integration to Function Comparison and Malware Classification M. Slawinski Andy Wortman 11 2 0 11 Oct 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 30 100 0 10 Sep 2018
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs F. Zuo Xiaopeng Li Patrick Young Lannan Luo Qiang Zeng Zhexin Zhang 24 224 0 08 Aug 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 18 239 0 19 Jun 2018