Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Hua, Velasco, Alejandro, Fang, Sen, Xu, Bowen, Poshyvanyk, Denys |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
by: Yang, Hua, et al.
Published: (2025)
by: Yang, Hua, et al.
Published: (2025)
"False negative -- that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
by: Ami, Amit Seal, et al.
Published: (2023)
by: Ami, Amit Seal, et al.
Published: (2023)
AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
by: Fang, Sen, et al.
Published: (2026)
by: Fang, Sen, et al.
Published: (2026)
Mutation-based Evaluation of Cryptographic API Misuse Detectors
by: Ami, Amit Seal, et al.
Published: (2021)
by: Ami, Amit Seal, et al.
Published: (2021)
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
by: Catal, Melih, et al.
Published: (2025)
by: Catal, Melih, et al.
Published: (2025)
SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
by: Dong, Xiaoning, et al.
Published: (2024)
by: Dong, Xiaoning, et al.
Published: (2024)
Understanding the Supply Chain and Risks of Large Language Model Applications
by: Ma, Yujie, et al.
Published: (2025)
by: Ma, Yujie, et al.
Published: (2025)
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
by: Yang, Zhou, et al.
Published: (2023)
by: Yang, Zhou, et al.
Published: (2023)
Probing Privacy Leaks in LLM-based Code Generation via Test Generation
by: Ge, Yifei, et al.
Published: (2026)
by: Ge, Yifei, et al.
Published: (2026)
Finding Privacy-relevant Source Code
by: Tang, Feiyang, et al.
Published: (2024)
by: Tang, Feiyang, et al.
Published: (2024)
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
by: Nie, Yuqing, et al.
Published: (2024)
by: Nie, Yuqing, et al.
Published: (2024)
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)
by: Farhad, Mohammad, et al.
Published: (2026)
Security of Language Models for Code: A Systematic Literature Review
by: Chen, Yuchen, et al.
Published: (2024)
by: Chen, Yuchen, et al.
Published: (2024)
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
by: Shang, Xiuwei, et al.
Published: (2025)
by: Shang, Xiuwei, et al.
Published: (2025)
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
Traces of Memorisation in Large Language Models for Code
by: Al-Kaswan, Ali, et al.
Published: (2023)
by: Al-Kaswan, Ali, et al.
Published: (2023)
Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
by: Jain, Vijayanta, et al.
Published: (2026)
by: Jain, Vijayanta, et al.
Published: (2026)
A Privacy-Preserving Approach to Conformance Checking
by: Rodríguez-Flores, Luis, et al.
Published: (2026)
by: Rodríguez-Flores, Luis, et al.
Published: (2026)
Large Language Model Supply Chain: Open Problems From the Security Perspective
by: Hu, Qiang, et al.
Published: (2024)
by: Hu, Qiang, et al.
Published: (2024)
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
by: Chu, Zhaoyang, et al.
Published: (2025)
by: Chu, Zhaoyang, et al.
Published: (2025)
Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
by: Huang, Youwei, et al.
Published: (2025)
by: Huang, Youwei, et al.
Published: (2025)
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
by: Xiao, Yuan, et al.
Published: (2026)
by: Xiao, Yuan, et al.
Published: (2026)
Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)
by: Mao, Zhenyu, et al.
Published: (2025)
Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
by: McDanel, Bradley
Published: (2025)
by: McDanel, Bradley
Published: (2025)
Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
by: Bruni, Marc, et al.
Published: (2025)
by: Bruni, Marc, et al.
Published: (2025)
How Far Have We Gone in Binary Code Understanding Using Large Language Models
by: Shang, Xiuwei, et al.
Published: (2024)
by: Shang, Xiuwei, et al.
Published: (2024)
Towards Agentic Runtime Healing
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements
by: Wang, Huaijin, et al.
Published: (2024)
by: Wang, Huaijin, et al.
Published: (2024)
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
by: Pan, Shidong, et al.
Published: (2024)
by: Pan, Shidong, et al.
Published: (2024)
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
by: Improta, Cristina
Published: (2024)
by: Improta, Cristina
Published: (2024)
Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)
by: Fang, Chongzhou, et al.
Published: (2023)
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications
by: Pan, Shidong, et al.
Published: (2025)
by: Pan, Shidong, et al.
Published: (2025)
Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
by: Chu, Junjie, et al.
Published: (2026)
by: Chu, Junjie, et al.
Published: (2026)
PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code
by: Jiang, Ziyou, et al.
Published: (2024)
by: Jiang, Ziyou, et al.
Published: (2024)
QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
by: Hu, Junze, et al.
Published: (2025)
by: Hu, Junze, et al.
Published: (2025)
Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
by: Patir, Rupam, et al.
Published: (2025)
by: Patir, Rupam, et al.
Published: (2025)
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
by: Yuan, He Yang, et al.
Published: (2026)
by: Yuan, He Yang, et al.
Published: (2026)
Similar Items
-
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
by: Yang, Hua, et al.
Published: (2025) -
"False negative -- that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
by: Ami, Amit Seal, et al.
Published: (2023) -
AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
by: Fang, Sen, et al.
Published: (2026) -
Mutation-based Evaluation of Cryptographic API Misuse Detectors
by: Ami, Amit Seal, et al.
Published: (2021) -
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
by: Catal, Melih, et al.
Published: (2025)