Image de couverture de livre

Comparing Reconstruction Attacks on Pretrained Versus Full Fine-tuned Large Language Model Embeddings on Homo Sapiens Splice Sites Genomic Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Al-Saidi, Reem, Ayday, Erman, Kobti, Ziad
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Topic-Based Watermarks for Large Language Models
par: Nemecek, Alexander, et autres
Publié: (2024)

ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
par: Namazi, Mina, et autres
Publié: (2025)

Quantifying Memorization and Privacy Risks in Genomic Language Models
par: Nemecek, Alexander, et autres
Publié: (2026)

PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research
par: Jiang, Yuzhou, et autres
Publié: (2022)

Cluster-Aware Attacks on Graph Watermarks
par: Nemecek, Alexander, et autres
Publié: (2025)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
par: Oksuz, Abdullah Caglar, et autres
Publié: (2023)

Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
par: Ghasemian, Maryam, et autres
Publié: (2024)

Validating GWAS Findings through Reverse Engineering of Contingency Tables
par: Jiang, Yuzhou, et autres
Publié: (2024)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
par: Zafar, Osama, et autres
Publié: (2026)

Fine-tuning can Help Detect Pretraining Data from Large Language Models
par: Zhang, Hengxiang, et autres
Publié: (2024)

¿Homo Sapiens u Ogro Sapiens? Los jefes duros de roer
par: Franco Lotito Catino
Publié: (2016)

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
par: Oksuz, Abdullah Caglar, et autres
Publié: (2026)

Watermarking Without Standards Is Not AI Governance
par: Nemecek, Alexander, et autres
Publié: (2025)

The End of Trust: How Agentic AI Breaks Security Assumptions
par: Zafar, Osama, et autres
Publié: (2026)

The Feasibility of Topic-Based Watermarking on Academic Peer Reviews
par: Nemecek, Alexander, et autres
Publié: (2025)

Full Parameter Fine-tuning for Large Language Models with Limited Resources
par: Lv, Kai, et autres
Publié: (2023)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
par: Nemecek, Alexander, et autres
Publié: (2025)

How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning
par: Salerno, Fabio, et autres
Publié: (2025)

A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
par: Zafar, Osama, et autres
Publié: (2025)

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
par: Du, Hao, et autres
Publié: (2024)

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey
par: Huang, Tiansheng, et autres
Publié: (2024)

Authenticated Contradictions from Desynchronized Provenance and Watermarking
par: Nemecek, Alexander, et autres
Publié: (2026)

Privacy-Preserving Model and Preprocessing Verification for Machine Learning
par: Li, Wenbiao, et autres
Publié: (2025)

Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
par: Zafar, Osama, et autres
Publié: (2024)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
par: Zafar, Osama, et autres
Publié: (2025)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
par: Rahman, Md Abdur, et autres
Publié: (2024)

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation
par: Huang, Tiansheng, et autres
Publié: (2025)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
par: Chen, Yuetian, et autres
Publié: (2026)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
par: Huang, Shih-Cheng, et autres
Publié: (2022)

Can Muon Fine-tune Adam-Pretrained Models?
par: Qu, Xingyu, et autres
Publié: (2026)

Digital Agriculture Sandbox for Collaborative Research
par: Zafar, Osama, et autres
Publié: (2025)

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
par: Huang, Tiansheng, et autres
Publié: (2024)

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
par: Huang, Tiansheng, et autres
Publié: (2024)

Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity
par: He, Mutian, et autres
Publié: (2024)

Membership Inference Attacks Against Fine-tuned Diffusion Language Models
par: Chen, Yuetian, et autres
Publié: (2026)

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
par: Nemecek, Alexander, et autres
Publié: (2026)

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
par: Xie, Jin, et autres
Publié: (2025)

Semi-supervised Fine-tuning for Large Language Models
par: Luo, Junyu, et autres
Publié: (2024)

Fine-tuning Large Language Models with Sequential Instructions
par: Hu, Hanxu, et autres
Publié: (2024)

Sparse Matrix in Large Language Model Fine-tuning
par: He, Haoze, et autres
Publié: (2024)