Copertina

SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dikici, Kıvanç Kuzey, Kara, Serdar, Çağlar, Semih, Tüzün, Eray, Sav, Sinem
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automated Classification of Human Code Review Comments with Large Language Models
di: Çağlar, Semih, et al.
Pubblicazione: (2026)

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
di: Yang, Zhou, et al.
Pubblicazione: (2023)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
di: Yang, Hua, et al.
Pubblicazione: (2025)

Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
di: Yang, Guang, et al.
Pubblicazione: (2024)

Exposing and Defending Membership Leakage in Vulnerability Prediction Models
di: Liao, Yihan, et al.
Pubblicazione: (2025)

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

Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
di: Cao, Jialun, et al.
Pubblicazione: (2024)

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
di: Hossen, Md Imran, et al.
Pubblicazione: (2024)

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
di: Dozono, Kohei, et al.
Pubblicazione: (2024)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
di: Shang, Xiuwei, et al.
Pubblicazione: (2025)

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

RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
di: Qu, Wenjie, et al.
Pubblicazione: (2025)

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems
di: Koscinski, Viktoria, et al.
Pubblicazione: (2025)

How Far Have We Gone in Binary Code Understanding Using Large Language Models
di: Shang, Xiuwei, et al.
Pubblicazione: (2024)

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models
di: Li, Yikun, et al.
Pubblicazione: (2025)

SecCodePRM: A Process Reward Model for Code Security
di: Yu, Weichen, et al.
Pubblicazione: (2026)

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

Automated Generation of Accurate Privacy Captions From Android Source Code Using Large Language Models
di: Jain, Vijayanta, et al.
Pubblicazione: (2026)

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection
di: Chen, Maofei, et al.
Pubblicazione: (2026)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
di: Khanmohammadi, Kobra, et al.
Pubblicazione: (2025)

An Empirical Study on Remote Code Execution in Machine Learning Model Hosting Ecosystems
di: Siddiq, Mohammed Latif, et al.
Pubblicazione: (2026)

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation
di: Chang, Shuyu, et al.
Pubblicazione: (2026)

How to Compare the Security of Code Written by Humans to LLM-generated Code
di: Balebako, Rebecca, et al.
Pubblicazione: (2026)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
di: Ahmad, Iftakhar, et al.
Pubblicazione: (2024)

Vulnerability Detection in Popular Programming Languages with Language Models
di: Atiiq, Syafiq Al, et al.
Pubblicazione: (2024)

LLM Security Guard for Code
di: Kavian, Arya, et al.
Pubblicazione: (2024)

Traces of Memorisation in Large Language Models for Code
di: Al-Kaswan, Ali, et al.
Pubblicazione: (2023)

On Trojan Signatures in Large Language Models of Code
di: Hussain, Aftab, et al.
Pubblicazione: (2024)

Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
di: Catal, Melih, et al.
Pubblicazione: (2025)

StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
di: Jiang, Yuan, et al.
Pubblicazione: (2024)

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

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

Finding Privacy-relevant Source Code
di: Tang, Feiyang, et al.
Pubblicazione: (2024)

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

Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
di: Tan, Zixuan, et al.
Pubblicazione: (2024)

Large Language Models-Aided Program Debloating
di: Lin, Bo, et al.
Pubblicazione: (2025)

Large Language Model assisted Hybrid Fuzzing
di: Meng, Ruijie, et al.
Pubblicazione: (2024)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
di: Farhad, Mohammad, et al.
Pubblicazione: (2026)

Secure Coding with AI -- From Detection to Repair
di: Belozerov, Vladislav, et al.
Pubblicazione: (2025)

Following Dragons: Code Review-Guided Fuzzing
di: Luu, Viet Hoang, et al.
Pubblicazione: (2026)