Cover Image

Protecting Language Models Against Unauthorized Distillation through Trace Rewriting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Xinhang, Yeoh, William, Zhang, Ning, Vorobeychik, Yevgeniy
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preference Poisoning Attacks on Reward Model Learning
by: Wu, Junlin, et al.
Published: (2024)

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
by: Wang, Jiongxiao, et al.
Published: (2023)

Conformal Reachability for Safe Control in Unknown Environments
by: Ma, Xinhang, et al.
Published: (2026)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
by: Li, Pingzhi, et al.
Published: (2025)

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
by: Qiao, Zile, et al.
Published: (2024)

Automatic Input Rewriting Improves Translation with Large Language Models
by: Ki, Dayeon, et al.
Published: (2025)

Learning Linear Utility Functions From Pairwise Comparison Queries
by: Ge, Luise, et al.
Published: (2024)

Optimized Distortion in Linear Social Choice
by: Ge, Luise, et al.
Published: (2025)

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data
by: Yang, Qinchen, et al.
Published: (2024)

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)

E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency
by: Xu, Dongjie, et al.
Published: (2025)

Verified Safe Reinforcement Learning for Neural Network Dynamic Models
by: Wu, Junlin, et al.
Published: (2024)

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
by: Huber, Thomas, et al.
Published: (2025)

Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
by: He, Bowei, et al.
Published: (2026)

Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs
by: Ge, Luise, et al.
Published: (2026)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
by: Bhambri, Siddhant, et al.
Published: (2025)

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
by: Zhang, Hao, et al.
Published: (2025)

CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
by: Ayesh, Mutaz, et al.
Published: (2025)

Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings
by: Icard, Benjamin, et al.
Published: (2026)

Dual-Space Knowledge Distillation for Large Language Models
by: Zhang, Songming, et al.
Published: (2024)

Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
by: Zhu, Xunyu, et al.
Published: (2024)

Chunk-Distilled Language Modeling
by: Li, Yanhong, et al.
Published: (2024)

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
by: Wang, Jun, et al.
Published: (2025)

An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting
by: Hou, Xia, et al.
Published: (2024)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Linear Social Choice with Few Queries: A Moment-Based Approach
by: Ge, Luise, et al.
Published: (2026)

Tracing Moral Foundations in Large Language Models
by: Yu, Chenxiao, et al.
Published: (2026)

ELAD: Explanation-Guided Large Language Models Active Distillation
by: Zhang, Yifei, et al.
Published: (2024)

Rewriting Conversational Utterances with Instructed Large Language Models
by: Galimzhanova, Elnara, et al.
Published: (2024)

Language Model Distillation: A Temporal Difference Imitation Learning Perspective
by: Yu, Zishun, et al.
Published: (2025)

DistillGuard: Evaluating Defenses Against LLM Knowledge Distillation
by: Jiang, Bo
Published: (2026)

OPSDL: On-Policy Self-Distillation for Long-Context Language Models
by: Zhang, Xinsen, et al.
Published: (2026)

Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
by: Cong, Tianshuo, et al.
Published: (2024)

Mixed Distillation Helps Smaller Language Model Better Reasoning
by: Li, Chenglin, et al.
Published: (2023)

Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation
by: Gao, Yilan, et al.
Published: (2026)

EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation
by: Long, Yunbo, et al.
Published: (2026)

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
by: Wang, Chengyu, et al.
Published: (2025)