Copertina

Eliminating Backdoors in Neural Code Models for Secure Code Understanding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sun, Weisong, Chen, Yuchen, Fang, Chunrong, Feng, Yebo, Xiao, Yuan, Guo, An, Zhang, Quanjun, Liu, Yang, Xu, Baowen, Chen, Zhenyu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Artificial Intelligence Software Engineering 68-06 D.2.3; I.2.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness
di: Sun, Weisong, et al.
Pubblicazione: (2025)

A Prompt Learning Framework for Source Code Summarization
di: Xu, Tingting, et al.
Pubblicazione: (2023)

ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization
di: Fang, Chunrong, et al.
Pubblicazione: (2024)

Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization
di: Sun, Weisong, et al.
Pubblicazione: (2025)

Source Code Summarization in the Era of Large Language Models
di: Sun, Weisong, et al.
Pubblicazione: (2024)

Security of Language Models for Code: A Systematic Literature Review
di: Chen, Yuchen, et al.
Pubblicazione: (2024)

Characterizing JavaScript Security Code Smells
di: Kambhampati, Vikas, et al.
Pubblicazione: (2024)

CodeCompass: Navigating the Navigation Paradox in Agentic Code Intelligence
di: Paipuru, Tarakanath
Pubblicazione: (2026)

Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense
di: Zhou, Yuyang, et al.
Pubblicazione: (2024)

Chase Anonymisation: Privacy-Preserving Knowledge Graphs with Logical Reasoning
di: Bellomarini, Luigi, et al.
Pubblicazione: (2024)

Optimizing Large Language Models for OpenAPI Code Completion
di: Petryshyn, Bohdan, et al.
Pubblicazione: (2024)

NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories
di: Chen, Xinfang, et al.
Pubblicazione: (2025)

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries
di: Fachada, Nuno, et al.
Pubblicazione: (2025)

OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
di: Saini, Varij, et al.
Pubblicazione: (2025)

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches
di: Wienczkowski, Michael
Pubblicazione: (2026)

Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
di: Khan, Ishraq, et al.
Pubblicazione: (2025)

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
di: Ranasinghe, Nishath Rajiv, et al.
Pubblicazione: (2025)

Interactive Simulations of Backdoors in Neural Networks
di: Bajcsy, Peter, et al.
Pubblicazione: (2024)

Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision
di: Huang, Jiangping, et al.
Pubblicazione: (2025)

TDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis
di: Alonso, Pepe, et al.
Pubblicazione: (2026)

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
di: Haseeb, Muhammad
Pubblicazione: (2025)

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
di: Bates, Averi, et al.
Pubblicazione: (2025)

From Scientific Texts to Verifiable Code: Automating the Process with Transformers
di: Wang, Changjie, et al.
Pubblicazione: (2025)

DISC: Dynamic Decomposition Improves LLM Inference Scaling
di: Light, Jonathan, et al.
Pubblicazione: (2025)

DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
di: Xiao, Yuan, et al.
Pubblicazione: (2025)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
di: Zhou, Xueyang, et al.
Pubblicazione: (2025)

Scattered Forest Search: Smarter Code Space Exploration with LLMs
di: Light, Jonathan, et al.
Pubblicazione: (2024)

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
di: Kurian, Ashley, et al.
Pubblicazione: (2025)

Exploiting Web Search Tools of AI Agents for Data Exfiltration
di: Rall, Dennis, et al.
Pubblicazione: (2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
di: Basit, Abdul, et al.
Pubblicazione: (2025)

Guardians of the Web: The Evolution and Future of Website Information Security
di: Islam, Md Saiful, et al.
Pubblicazione: (2025)

PromptSAM+: Malware Detection based on Prompt Segment Anything Model
di: Wei, Xingyuan, et al.
Pubblicazione: (2024)

React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend
di: Potanin, Alex
Pubblicazione: (2026)

LLM Agents for Generating Microservice-based Applications: how complex is your specification?
di: Yellin, Daniel M.
Pubblicazione: (2025)

Power-Softmax: Towards Secure LLM Inference over Encrypted Data
di: Zimerman, Itamar, et al.
Pubblicazione: (2024)

Experience with GitHub Copilot for Developer Productivity at Zoominfo
di: Bakal, Gal, et al.
Pubblicazione: (2025)

LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops
di: Ravi, Ravin, et al.
Pubblicazione: (2026)

Vertical Federated Graph Neural Network for Recommender System
di: Mai, Peihua, et al.
Pubblicazione: (2023)

Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
di: Wei, Xingyuan, et al.
Pubblicazione: (2024)

Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference
di: Anchuri, Pranay, et al.
Pubblicazione: (2026)