PalmTree: Learning an Assembly Language Model for Instruction Embedding

21 January 2021

Papers citing "PalmTree: Learning an Assembly Language Model for Instruction Embedding"

50 / 50 papers shown

Title
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding Xiuwei Shang Zhenkan Fu Shaoyin Cheng Guoqiang Chen Gangyang Li Li Hu W. Zhang N. Yu 62 0 0 30 Apr 2025
Zero Day Malware Detection with Alpha: Fast DBI with Transformer Models for Real World Application Matthew G. Gaber Mohiuddin Ahmed Helge Janicke 19 0 0 21 Apr 2025
Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code Gangyang Li Xiuwei Shang Shaoyin Cheng J. Zhang Li Hu Xu Zhu W. Zhang Nenghai Yu 36 0 0 10 Mar 2025
UniASM: Binary Code Similarity Detection without Fine-tuning Yeming Gu Hui Shu Fei Kang Fan Hu 64 10 0 21 Feb 2025
On the Role of Pre-trained Embeddings in Binary Code Analysis Alwin Maier Felix Weissberg Konrad Rieck 41 0 0 12 Feb 2025
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer Hanxiao Lu Hongyu Cai Yiming Liang Antonio Bianchi Z. Berkay Celik 73 0 0 15 Dec 2024
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search Yongpan Wang Hong Li Xiaojie Zhu Siyuan Li Chaopeng Dong Shouguo Yang Kangyuan Qin 25 0 0 02 Nov 2024
BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis Fei Zuo Cody Tompkins Qiang Zeng Lannan Luo Yung Ryn Choe Junghwan Rhee 13 0 0 14 Oct 2024
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code Gary A. McCully John D. Hastings Shengjie Xu Adam Fortier 41 2 0 26 Sep 2024
ViC: Virtual Compiler Is All You Need For Assembly Code Search Zeyu Gao Hao Wang Yuanda Wang Chao Zhang 28 1 0 10 Aug 2024
SOS! Soft Prompt Attack Against Open-Source Large Language Models Ziqing Yang Michael Backes Yang Zhang Ahmed Salem AAML 38 6 0 03 Jul 2024
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization Haolang Lu Hongrui Peng Guoshun Nan Jiaoyang Cui Cheng Wang Weifei Jin 32 4 0 26 Jun 2024
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets Josh Collyer Tim Watson Iain Phillips GNN 20 0 0 02 Jun 2024
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code Gary A. McCully John D. Hastings Shengjie Xu Adam Fortier 30 2 0 31 May 2024
Assemblage: Automatic Binary Dataset Construction for Machine Learning Chang Liu Rebecca Saul Yihao Sun Edward Raff Maya Fuchs Townsend Southard Pantano James Holt Kristopher K. Micinski 27 2 0 07 May 2024
Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery Iftakhar Ahmad Lannan Luo 16 1 0 29 Apr 2024
Multi-modal Learning for WebAssembly Reverse Engineering Hanxian Huang Jishen Zhao 27 2 0 04 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 92 2 0 27 Mar 2024
A hybrid LLM workflow can help identify user privilege related variables in programs of any size Haizhou Wang Zhilong Wang Peng Liu 22 3 0 23 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 28 8 0 29 Feb 2024
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision Hao Wang Zeyu Gao Chao Zhang Zihan Sha Mingyang Sun Yuchen Zhou Wenyu Zhu Wenju Sun Han Qiu Xiangwei Xiao 36 16 0 26 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 18 7 0 05 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 76 47 0 29 Jan 2024
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models Xin Jin Jonathan Larson Weiwei Yang Zhiqiang Lin ELM 15 20 0 15 Dec 2023
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning Xu He Shu Wang Pengbin Feng Xinda Wang Shiyu Sun Qi Li Kun Sun 16 1 0 13 Dec 2023
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity S. VenkataKeerthy Soumya Banerjee Sayan Dey Yashas Andaluri PS Raghul S. Kalyanasundaram Fernando Magno Quintao Pereira Ramakrishna Upadrasta 24 3 0 01 Dec 2023
FASER: Binary Code Similarity Search through the use of Intermediate Representations Josh Collyer Tim Watson Iain Phillips 15 5 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 27 10 0 24 Aug 2023
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Xinyue Shen Z. Chen Michael Backes Yun Shen Yang Zhang SILM 33 243 0 07 Aug 2023
Exploiting Code Symmetries for Learning Program Semantics Kexin Pei Weichen Li Qirui Jin Shuyang Liu Scott Geng Lorenzo Cavallaro Junfeng Yang Suman Jana 31 4 0 07 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 4 2 0 02 Aug 2023
VulMatch: Binary-level Vulnerability Detection Through Signature Zian Liu Lei Pan Chao Chen Ejaz Ahmed Shi-xiang Liu Jinchao Zhang Dongxi Liu 16 2 0 01 Aug 2023
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck Zhiwei Fu Steven H. H. Ding Furkan Alaca Benjamin C. M. Fung P. Charland 11 1 0 20 Jul 2023
FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection Che-Wei Huang Guibo Zhu Guojing Ge Taiha Li Jinqiao Wang 27 1 0 25 Jun 2023
GraphMoco:a Graph Momentum Contrast Model that Using Multimodel Structure Information for Large-scale Binary Function Representation Learning Runjin Sun Shize Guo Wei Li XingYu Zhang Xi Guo Zhisong Pan 25 4 0 18 May 2023
LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries Siyuan Li Yongpan Wang Chaopeng Dong Shouguo Yang Hong Li ... Zhe Lang Zuxin Chen Weijie Wang Hongsong Zhu Limin Sun 18 12 0 06 May 2023
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning Lan Zhang Chen Cao Zhilong Wang Peng Liu SSL 6 3 0 20 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 9 30 0 02 Jan 2023
Beyond the C: Retargetable Decompilation using Neural Machine Translation Iman Hosseini Brendan Dolan-Gavitt 8 15 0 17 Dec 2022
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 23 6 0 05 Dec 2022
NeuDep: Neural Binary Memory Dependence Analysis Kexin Pei Dongdong She Michael Wang Scott Geng Zhou Xuan Yaniv David Junfeng Yang Suman Jana Baishakhi Ray 22 5 0 04 Oct 2022
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie L. Ma AAML 29 13 0 03 Oct 2022
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings Ruijin Sun Guo Shize Jinhong Guo Li Wei Zhan Dazhi Sun Meng Zhisong Pan 11 0 0 06 Sep 2022
Black-box Attacks Against Neural Binary Function Detection Josh Bundt Michael Davinroy Ioannis Agadakos Alina Oprea William K. Robertson AAML 19 1 0 24 Aug 2022
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer Fiorella Artuso Marco Mormando Giuseppe A. Di Luna Leonardo Querzoni 16 6 0 13 Aug 2022
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning Wenyu Zhu Zhiyao Feng Zihan Zhang Jian-jun Chen Zhijian Ou Min Yang Chao Zhang AAML 6 8 0 02 Nov 2021
Identifying Non-Control Security-Critical Data through Program Dependence Learning Zhilong Wang Haizhou Wang Hong Hu Peng Liu AAML 22 0 0 27 Aug 2021
XFL: Naming Functions in Binaries with Extreme Multi-label Learning James Patrick-Evans Moritz Dannehl Johannes Kinder 6 10 0 28 Jul 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013