Cover Image

Decoding Secret Memorization in Code LLMs Through Token-Level Characterization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nie, Yuqing, Wang, Chong, Wang, Kailong, Xu, Guoai, Xu, Guosheng, Wang, Haoyu
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
by: Liu, Bin, et al.
Published: (2025)

MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding
by: Nie, Yuqing, et al.
Published: (2026)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
by: Zhao, Jian, et al.
Published: (2024)

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis
by: Wang, Shenao, et al.
Published: (2024)

Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
by: Zheng, Xinyi, et al.
Published: (2024)

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
by: Wang, Yanlin, et al.
Published: (2026)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
by: Xu, Hanxiang, et al.
Published: (2024)

Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
by: Sun, Tianle, et al.
Published: (2024)

How Agentic AI Coding Assistants Become the Attacker's Shell
by: Liu, Yue, et al.
Published: (2026)

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
by: Liu, Yue, et al.
Published: (2025)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine
by: Ma, Jie, et al.
Published: (2025)

Evaluating Large Language Models for Line-Level Vulnerability Localization
by: Zhang, Jian, et al.
Published: (2024)

FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
by: Murali, Aniruddhan, et al.
Published: (2024)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)

Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
by: Cheng, Baijun, et al.
Published: (2024)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
by: Lin, Bo, et al.
Published: (2025)

The Secret Life of CVEs
by: Przymus, Piotr, et al.
Published: (2025)

Lightweight Vulnerability Detection from Code Metrics and Token Features
by: Chiu, Chun Yin
Published: (2026)

ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024)

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
by: Chu, Zhaoyang, et al.
Published: (2025)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)

Assessing Privacy Compliance of Android Third-Party SDKs
by: Meng, Mark Huasong, et al.
Published: (2024)

Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
by: Liu, Weijie, et al.
Published: (2025)

"Elementary, My Dear Watson." Detecting Malicious Skills via Neuro-Symbolic Reasoning across Heterogeneous Artifacts
by: Wang, Shenao, et al.
Published: (2026)

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
by: Gu, Shanzhi, et al.
Published: (2025)

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
by: Li, Zhen, et al.
Published: (2024)

PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
by: Liu, Xiting, et al.
Published: (2026)

Clawdrain: Exploiting Tool-Calling Chains for Stealthy Token Exhaustion in OpenClaw Agents
by: Dong, Ben, et al.
Published: (2026)

Backdoors in Code Summarizers: How Bad Is It?
by: Wang, Chenyu, et al.
Published: (2025)

KVerus: Scalable and Resilient Formal Verification Proof Generation for Rust Code
by: Liu, Yuwei, et al.
Published: (2026)

Automated TEE Adaptation with LLMs: Identifying, Transforming, and Porting Sensitive Functions in Programs
by: Han, Ruidong, et al.
Published: (2025)

Execution-State-Aware LLM Reasoning for Automated Proof-of-Vulnerability Generation
by: Li, Haoyu, et al.
Published: (2026)

Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)

Does Teaming-Up LLMs Improve Secure Code Generation? A Comprehensive Evaluation with Multi-LLMSecCodeEval
by: Sabir, Bushra, et al.
Published: (2026)

LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification
by: Wang, Yishun, et al.
Published: (2026)

LLM-enabled Applications Require System-Level Threat Monitoring
by: Zhang, Yedi, et al.
Published: (2026)

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