Imagen de Portada

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hsu, Chia-Yi, Tsai, Yu-Lin, Lin, Chih-Hsun, Chen, Pin-Yu, Yu, Chia-Mu, Huang, Chun-Ying
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
por: Hsu, Chia-Yi, et al.
Publicado: (2025)

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
por: Tsai, Yu-Lin, et al.
Publicado: (2023)

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
por: Lee, Yu-Ang, et al.
Publicado: (2026)

EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
por: Lin, Hsi-Che, et al.
Publicado: (2025)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors
por: Hsu, Chia-Yi, et al.
Publicado: (2025)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
por: Luo, Minrui, et al.
Publicado: (2025)

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
por: Ji, Yuelyu, et al.
Publicado: (2024)

LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
por: Wu, Changshun, et al.
Publicado: (2025)

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
por: Hsu, I-Jung, et al.
Publicado: (2025)

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
por: Feng, Zhi-Quan, et al.
Publicado: (2026)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
por: Shen, Yixin
Publicado: (2025)

Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills
por: Hsu, Chia-Yi, et al.
Publicado: (2026)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
por: Ran, Delong, et al.
Publicado: (2025)

LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
por: Zhang, Longteng, et al.
Publicado: (2023)

Activated LoRA: Fine-tuned LLMs for Intrinsics
por: Greenewald, Kristjan, et al.
Publicado: (2025)

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
por: Xiao, Yicheng, et al.
Publicado: (2025)

GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning
por: Ed-dib, Abdessalam, et al.
Publicado: (2024)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
por: Liao, Ting-Wei, et al.
Publicado: (2025)

LoRA vs Full Fine-tuning: An Illusion of Equivalence
por: Shuttleworth, Reece, et al.
Publicado: (2024)

DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models
por: Marjit, Shyam, et al.
Publicado: (2024)

Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
por: Zhang, Yuchen, et al.
Publicado: (2025)

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective
por: Kao, Ching-Chia, et al.
Publicado: (2025)

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
por: Cho, Yae Jee, et al.
Publicado: (2024)

SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
por: Zhou, Shuaipeng, et al.
Publicado: (2026)

Personalized LoRA for Human-Centered Text Understanding
por: Zhang, You, et al.
Publicado: (2024)

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
por: Lermen, Simon, et al.
Publicado: (2023)

FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
por: Xie, Sijing, et al.
Publicado: (2025)

SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
por: Liu, Jianmin, et al.
Publicado: (2025)

LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
por: Zhang, Jia-Chen, et al.
Publicado: (2024)

CopRA: A Progressive LoRA Training Strategy
por: Zhuang, Zhan, et al.
Publicado: (2024)

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
por: Bian, Jieming, et al.
Publicado: (2024)

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
por: Chen, Guanduo, et al.
Publicado: (2025)

HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
por: Su, Yang, et al.
Publicado: (2024)

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption
por: Frery, Jordan, et al.
Publicado: (2025)

A Note on LoRA
por: Fomenko, Vlad, et al.
Publicado: (2024)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
por: Ao, Shuang, et al.
Publicado: (2025)

Clinical Outcomes and Safety Profiles of Generic Versus Brand‐Name Clopidogrel in Patients Following Coronary Artery Stent Placement
por: Chin‐Yuan Chia, et al.
Publicado: (2025)

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
por: Wang, Shuaidi, et al.
Publicado: (2026)

LoRA+: Efficient Low Rank Adaptation of Large Models
por: Hayou, Soufiane, et al.
Publicado: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
por: Sheng, Ying, et al.
Publicado: (2023)