Cover Image

Assemblage: Automatic Binary Dataset Construction for Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Chang, Saul, Rebecca, Sun, Yihao, Raff, Edward, Fuchs, Maya, Pantano, Townsend Southard, Holt, James, Micinski, Kristopher
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage
by: Liu, Chang, et al.
Published: (2026)

Is Function Similarity Over-Engineered? Building a Benchmark
by: Saul, Rebecca, et al.
Published: (2024)

ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
by: Joyce, Robert J., et al.
Published: (2025)

Disassembly as Weighted Interval Scheduling with Learned Weights
by: Flores-Montoya, Antonio, et al.
Published: (2025)

EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
by: Joyce, Robert J., et al.
Published: (2025)

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
by: Alam, Mohammad Mahmudul, et al.
Published: (2024)

Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
by: Raff, Edward, et al.
Published: (2025)

Automatic State Machine Inference for Binary Protocol Reverse Engineering
by: Yang, Junhai, et al.
Published: (2024)

Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
by: Gupta, Siddhant, et al.
Published: (2024)

SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths
by: Adewunmi, Bahirah, et al.
Published: (2026)

BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis
by: Zuo, Fei, et al.
Published: (2024)

SoK: A Review of Differentially Private Linear Models For High-Dimensional Data
by: Khanna, Amol, et al.
Published: (2024)

Differentially Private Iterative Screening Rules for Linear Regression
by: Khanna, Amol, et al.
Published: (2025)

TabularMark: Watermarking Tabular Datasets for Machine Learning
by: Zheng, Yihao, et al.
Published: (2024)

Skeptic: Automatic, Justified and Privacy-Preserving Password Composition Policy Selection
by: Johnson, Saul, et al.
Published: (2020)

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows
by: Saul, Rebecca, et al.
Published: (2025)

Automatic Teller Machines for Offline E-cash
by: Chakraborti, Anrin, et al.
Published: (2026)

BinPool: A Dataset of Vulnerabilities for Binary Security Analysis
by: Arasteh, Sima, et al.
Published: (2025)

Things that Matter -- Identifying Interactions and IoT Device Types in Encrypted Matter Traffic
by: Schlett, Kristopher Alex, et al.
Published: (2026)

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
by: Risse, Niklas, et al.
Published: (2023)

Explainable Machine Learning for Phishing Detection on Heterogeneous Datasets with MCP-Enabled Deployment
by: Dora, Nikhil Kumar, et al.
Published: (2026)

Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
by: Huang, Pengzhi, et al.
Published: (2022)

Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study
by: Hannousse, Abdelhakim, et al.
Published: (2020)

Cryptographic Binding Should Not Be Optional: A Formal-Methods Analysis of FIDO UAF Channel Binding
by: Golaszewski, Enis, et al.
Published: (2025)

APEX: Automatic Event Sequence Generation for Android Applications
by: Chen, Wenhao, et al.
Published: (2025)

Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset
by: Poudel, Mukesh, et al.
Published: (2025)

Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government
by: Khanna, Amol, et al.
Published: (2024)

Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
by: Yacoubi, Mohammed, et al.
Published: (2025)

IDCloak: A Practical Secure Multi-party Dataset Join Framework for Vertical Privacy-preserving Machine Learning
by: Chen, Shuyu, et al.
Published: (2025)

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models
by: Luan, Xiaokun, et al.
Published: (2026)

Binary and Multiclass Cyberattack Classification on GeNIS Dataset
by: Silva, Miguel, et al.
Published: (2025)

Machine Learning with Privacy for Protected Attributes
by: Mahloujifar, Saeed, et al.
Published: (2025)

Trident: Improving Malware Detection with LLMs and Behavioral Features
by: Saul, Rebecca, et al.
Published: (2026)

SoK: Dataset Copyright Auditing in Machine Learning Systems
by: Du, Linkang, et al.
Published: (2024)

Advancing Blockchain Scalability: An Introduction to Layer 1 and Layer 2 Solutions
by: Song, Han, et al.
Published: (2024)

ReCopilot: Reverse Engineering Copilot in Binary Analysis
by: Chen, Guoqiang, et al.
Published: (2025)

Deep Learning-based Binary Analysis for Vulnerability Detection in x86-64 Machine Code
by: Petingola, Mitchell
Published: (2026)

Machine Learning-Based Cyberattack Detection and Identification for Automatic Generation Control Systems Considering Nonlinearities
by: Shabar, Nour M., et al.
Published: (2025)

Analysis of the Security Design, Engineering, and Implementation of the SecureDNA System
by: Sherman, Alan T., et al.
Published: (2025)

Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning
by: Sawada, Hiroto, et al.
Published: (2024)