Cover Image

AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Achamyeleh, Yonatan Gizachew, Zhang, Tongtao, Kim, Joshua Hyunki, Garcia, Gabriel, Yu, Shih-Yuan, Kocheturov, Anton, Faruque, Mohammad Abdullah Al
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Environmental Rate Manipulation Attacks on Power Grid Security
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2025)

HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2026)

Bridging the PLC Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control Systems
by: Achamyeleh, Yonatan Gizachew, et al.
Published: (2025)

LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
by: Fakih, Mohamad, et al.
Published: (2025)

HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions
by: Farhad, Mohammad, et al.
Published: (2025)

Characterizing and Modeling the GitHub Security Advisories Review Pipeline
by: Segal, Claudio, et al.
Published: (2026)

When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection
by: Khalal, Noor, et al.
Published: (2026)

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions
by: Ferenc, Rudolf, et al.
Published: (2024)

Automated Repair of OpenID Connect Programs (Extended Version)
by: Rahat, Tamjid Al, et al.
Published: (2025)

Architecture-Derived CBOMs for Cryptographic Migration: A Security-Aware Architecture Tradeoff Method
by: Hirsch, Eduard, et al.
Published: (2026)

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
by: Ryan, Ahmed, et al.
Published: (2026)

An Architecture for Privacy-Preserving Telemetry Scheme
by: Odoh, Kenneth
Published: (2025)

RampoNN: A Reachability-Guided System Falsification for Efficient Cyber-Kinetic Vulnerability Detection
by: Tsujio, Kohei, et al.
Published: (2025)

Rampo: A CEGAR-based Integration of Binary Code Analysis and System Falsification for Cyber-Kinetic Vulnerability Detection
by: Tsujio, Kohei, et al.
Published: (2024)

An Empirical Analysis of EOS Blockchain: Architecture, Contract, and Security
by: Liu, Haiyang, et al.
Published: (2025)

CNT: Safety-oriented Function Reuse across LLMs via Cross-Model Neuron Transfer
by: Zhao, Yue, et al.
Published: (2026)

Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
by: Le, Triet H. M., et al.
Published: (2024)

A Systematic Study of LLM-Based Architectures for Automated Patching
by: Xu, Qingxiao, et al.
Published: (2026)

Leveraging Security Observability to Strengthen Security of Digital Ecosystem Architecture
by: Ramachandran, Renjith
Published: (2024)

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
by: Xiao, Yuan, et al.
Published: (2026)

A Deep Dive Into How Open-Source Project Maintainers Review and Resolve Bug Bounty Reports
by: Ayala, Jessy, et al.
Published: (2024)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)

An Extensible Framework for Architecture-Based Data Flow Analysis for Information Security
by: Boltz, Nicolas, et al.
Published: (2024)

An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management
by: Tran, Nguyen Khoi, et al.
Published: (2023)

PROMFUZZ: Leveraging LLM-Driven and Bug-Oriented Composite Analysis for Detecting Functional Bugs in Smart Contracts
by: Lin, Xingshuang, et al.
Published: (2025)

From Reviewers' Lens: Understanding Bug Bounty Report Invalid Reasons with LLMs
by: Zheng, Jiangrui, et al.
Published: (2025)

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
by: Farhad, Mohammad, et al.
Published: (2026)

Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models
by: Sayagh, Mohammed, et al.
Published: (2025)

Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
by: Setak, Mohammad, et al.
Published: (2024)

Enterprise Identity Integration for AI-Assisted Developer Services: Architecture, Implementation, and Case Study
by: Chinthareddy, Manideep Reddy
Published: (2026)

SecDOAR: A Software Reference Architecture for Security Data Orchestration, Analysis and Reporting
by: Chauhan, Muhammad Aufeef, et al.
Published: (2024)

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
by: Si, Meixue, et al.
Published: (2024)

LLM Security Guard for Code
by: Kavian, Arya, et al.
Published: (2024)

A Privacy-Preserving DAO Model Using NFT Authentication for the Punishment not Reward Blockchain Architecture
by: Bayan, Talgar, et al.
Published: (2024)

APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
by: Yin, Zhenhao, et al.
Published: (2025)

FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)

The Auth Shim: A Lightweight Architectural Pattern for Integrating Enterprise SSO with Standalone Open-Source Applications
by: Agrawal, Yuvraj
Published: (2025)

Vulnerability Detection in Popular Programming Languages with Language Models
by: Atiiq, Syafiq Al, et al.
Published: (2024)