NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Yilin, Meng, Guozhu, Sun, Mingyang, Wang, Yanzhong, Sun, Kun, Chang, Hailong, Li, Yuekang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
When Code Crosses Borders: A Security-Centric Study of LLM-based Code Translation
por: Chang, Hailong, et al.
Publicado: (2025)
por: Chang, Hailong, et al.
Publicado: (2025)
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
por: Liu, Tong, et al.
Publicado: (2023)
por: Liu, Tong, et al.
Publicado: (2023)
STRIDE: Simple Type Recognition In Decompiled Executables
por: Green, Harrison, et al.
Publicado: (2024)
por: Green, Harrison, et al.
Publicado: (2024)
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
por: Zhou, Zhiping, et al.
Publicado: (2025)
por: Zhou, Zhiping, et al.
Publicado: (2025)
AuthNet: Neural Network with Integrated Authentication Logic
por: Cai, Yuling, et al.
Publicado: (2024)
por: Cai, Yuling, et al.
Publicado: (2024)
Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
por: Dramko, Luke, et al.
Publicado: (2025)
por: Dramko, Luke, et al.
Publicado: (2025)
Decompiling Smart Contracts with a Large Language Model
por: David, Isaac, et al.
Publicado: (2025)
por: David, Isaac, et al.
Publicado: (2025)
DeFiTail: DeFi Protocol Inspection through Cross-Contract Execution Analysis
por: Li, Wenkai, et al.
Publicado: (2024)
por: Li, Wenkai, et al.
Publicado: (2024)
CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference
por: Zhang, Qiang, et al.
Publicado: (2026)
por: Zhang, Qiang, et al.
Publicado: (2026)
Decaf: Improving Neural Decompilation with Automatic Feedback and Search
por: Shypula, Alexander, et al.
Publicado: (2026)
por: Shypula, Alexander, et al.
Publicado: (2026)
Fast, Fine-Grained Equivalence Checking for Neural Decompilers
por: Dramko, Luke, et al.
Publicado: (2025)
por: Dramko, Luke, et al.
Publicado: (2025)
LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks
por: Wang, Ruoxi, et al.
Publicado: (2025)
por: Wang, Ruoxi, et al.
Publicado: (2025)
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation
por: Jin, David, et al.
Publicado: (2025)
por: Jin, David, et al.
Publicado: (2025)
TENNOR: Trustworthy Execution for Neural Networks through Obliviousness and Retrievals
por: Qu, Zifan, et al.
Publicado: (2026)
por: Qu, Zifan, et al.
Publicado: (2026)
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
por: Cotroneo, D., et al.
Publicado: (2024)
por: Cotroneo, D., et al.
Publicado: (2024)
Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection
por: Meng, Guozhu, et al.
Publicado: (2025)
por: Meng, Guozhu, et al.
Publicado: (2025)
The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
por: Liu, Tong, et al.
Publicado: (2025)
por: Liu, Tong, et al.
Publicado: (2025)
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks
por: Li, Qiushi, et al.
Publicado: (2024)
por: Li, Qiushi, et al.
Publicado: (2024)
ROPNN: Detection of ROP Payloads Using Deep Neural Networks
por: Li, Xusheng, et al.
Publicado: (2018)
por: Li, Xusheng, et al.
Publicado: (2018)
An Approach for Safe and Secure Software Protection Supported by Symbolic Execution
por: Dorfmeister, Daniel, et al.
Publicado: (2026)
por: Dorfmeister, Daniel, et al.
Publicado: (2026)
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
por: Deng, Gelei, et al.
Publicado: (2024)
por: Deng, Gelei, et al.
Publicado: (2024)
Membership Inference Attacks Against Video Large Language Models
por: Song, Wei, et al.
Publicado: (2026)
por: Song, Wei, et al.
Publicado: (2026)
Exploiting Sequence Number Leakage: TCP Hijacking in NAT-Enabled Wi-Fi Networks
por: Yang, Yuxiang, et al.
Publicado: (2024)
por: Yang, Yuxiang, et al.
Publicado: (2024)
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
por: Li, Xuzeng, et al.
Publicado: (2025)
por: Li, Xuzeng, et al.
Publicado: (2025)
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
por: Li, Ziqiang, et al.
Publicado: (2023)
por: Li, Ziqiang, et al.
Publicado: (2023)
A Decompilation-Driven Framework for Malware Detection with Large Language Models
por: Chawla, Aniesh, et al.
Publicado: (2026)
por: Chawla, Aniesh, et al.
Publicado: (2026)
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models
por: Wang, Mingsi, et al.
Publicado: (2025)
por: Wang, Mingsi, et al.
Publicado: (2025)
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
por: Li, Jiate, et al.
Publicado: (2025)
por: Li, Jiate, et al.
Publicado: (2025)
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
por: Sun, Tong, et al.
Publicado: (2025)
por: Sun, Tong, et al.
Publicado: (2025)
IllusionCAPTCHA: A CAPTCHA based on Visual Illusion
por: Ding, Ziqi, et al.
Publicado: (2025)
por: Ding, Ziqi, et al.
Publicado: (2025)
CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
por: Manuel, Dylan, et al.
Publicado: (2025)
por: Manuel, Dylan, et al.
Publicado: (2025)
Bleeding Pathways: Vanishing Discriminability in LLM Hidden States Fuels Jailbreak Attacks
por: Zhang, Yingjie, et al.
Publicado: (2025)
por: Zhang, Yingjie, et al.
Publicado: (2025)
DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for Connected Autonomous Vehicles
por: Sun, Xingchen, et al.
Publicado: (2025)
por: Sun, Xingchen, et al.
Publicado: (2025)
SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
por: Dai, Han, et al.
Publicado: (2026)
por: Dai, Han, et al.
Publicado: (2026)
LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
por: Jelodar, Hamed, et al.
Publicado: (2026)
por: Jelodar, Hamed, et al.
Publicado: (2026)
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
por: Xu, Zihao, et al.
Publicado: (2024)
por: Xu, Zihao, et al.
Publicado: (2024)
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks
por: Yuan, Dingqiang, et al.
Publicado: (2024)
por: Yuan, Dingqiang, et al.
Publicado: (2024)
Membership Privacy Evaluation in Deep Spiking Neural Networks
por: Li, Jiaxin, et al.
Publicado: (2024)
por: Li, Jiaxin, et al.
Publicado: (2024)
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
por: Deng, Gelei, et al.
Publicado: (2023)
por: Deng, Gelei, et al.
Publicado: (2023)
On Practicality of Using ARM TrustZone Trusted Execution Environment for Securing Programmable Logic Controllers
por: Li, Zhiang, et al.
Publicado: (2024)
por: Li, Zhiang, et al.
Publicado: (2024)
Ejemplares similares
-
When Code Crosses Borders: A Security-Centric Study of LLM-based Code Translation
por: Chang, Hailong, et al.
Publicado: (2025) -
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
por: Liu, Tong, et al.
Publicado: (2023) -
STRIDE: Simple Type Recognition In Decompiled Executables
por: Green, Harrison, et al.
Publicado: (2024) -
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
por: Zhou, Zhiping, et al.
Publicado: (2025) -
AuthNet: Neural Network with Integrated Authentication Logic
por: Cai, Yuling, et al.
Publicado: (2024)