Image de couverture de livre

FDI: Attack Neural Code Generation Systems through User Feedback Channel

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Zhensu, Du, Xiaoning, Luo, Xiapu, Song, Fu, Lo, David, Li, Li
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Agentic Runtime Healing
par: Sun, Zhensu, et autres
Publié: (2024)

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
par: Cao, Sicong, et autres
Publié: (2024)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
par: Sun, Tianle, et autres
Publié: (2024)

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
par: Liu, Yue, et autres
Publié: (2025)

Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
par: Yang, Guang, et autres
Publié: (2024)

DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
par: Xiao, Yuan, et autres
Publié: (2025)

Usability as a Weapon: Attacking the Safety of LLM-Based Code Generation via Usability Requirements
par: Li, Yue, et autres
Publié: (2026)

Demonstration Attack against In-Context Learning for Code Intelligence
par: Ge, Yifei, et autres
Publié: (2024)

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
par: Dong, Xiaoning, et autres
Publié: (2024)

Backdoors in Code Summarizers: How Bad Is It?
par: Wang, Chenyu, et autres
Publié: (2025)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
par: Guo, Hanyang, et autres
Publié: (2024)

Detecting Stealthy Data Poisoning Attacks in AI Code Generators
par: Improta, Cristina
Publié: (2025)

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
par: Lin, Dan, et autres
Publié: (2025)

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
par: Sun, Zhensu, et autres
Publié: (2022)

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
par: Chang, Shuyu, et autres
Publié: (2026)

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
par: Yang, Zhou, et autres
Publié: (2023)

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
par: Fu, Yujia, et autres
Publié: (2023)

How Agentic AI Coding Assistants Become the Attacker's Shell
par: Liu, Yue, et autres
Publié: (2026)

PatchFuzz: Patch Fuzzing for JavaScript Engines
par: Wang, Junjie, et autres
Publié: (2025)

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem
par: Song, Hao, et autres
Publié: (2025)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
par: Zhao, Jian, et autres
Publié: (2024)

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
par: Sun, Zhensu, et autres
Publié: (2024)

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
par: Peng, Yibo, et autres
Publié: (2025)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
par: Ahmad, Iftakhar, et autres
Publié: (2024)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
par: Shang, Xiuwei, et autres
Publié: (2025)

Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
par: Li, Tian, et autres
Publié: (2025)

LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification
par: Wang, Yishun, et autres
Publié: (2026)

Cybersecurity Defenses: Exploration of CVE Types through Attack Descriptions
par: Othman, Refat, et autres
Publié: (2024)

Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand
par: Sun, Zhensu, et autres
Publié: (2025)

Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts
par: Kong, Ziqiao, et autres
Publié: (2025)

Probing Privacy Leaks in LLM-based Code Generation via Test Generation
par: Ge, Yifei, et autres
Publié: (2026)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
par: Khanmohammadi, Kobra, et autres
Publié: (2025)

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
par: Pan, Shidong, et autres
Publié: (2024)

Automatic Attack Script Generation: a MDA Approach
par: Goux, Quentin, et autres
Publié: (2026)

Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
par: Dramko, Luke, et autres
Publié: (2025)

SecCodePRM: A Process Reward Model for Code Security
par: Yu, Weichen, et autres
Publié: (2026)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
par: Ning, Kaiwen, et autres
Publié: (2024)

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
par: Xiao, Yuan, et autres
Publié: (2026)

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
par: Lingxiang, Wang, et autres
Publié: (2025)

When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
par: Zhao, Weibo, et autres
Publié: (2025)