Cover Image

Robust Watermarking on Gradient Boosting Decision Trees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Jun Woo, Lao, Yingjie, Zhao, Weijie
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
by: Lin, Huawei, et al.
Published: (2025)

DMin: Scalable Training Data Influence Estimation for Diffusion Models
by: Lin, Huawei, et al.
Published: (2024)

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality
by: Hoang, Duy C., et al.
Published: (2024)

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models
by: Lin, Huawei, et al.
Published: (2025)

UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)

Practical Anonymous Two-Party Gradient Boosting Decision Tree
by: Chenyu, Huang, et al.
Published: (2026)

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models
by: Liu, Pang, et al.
Published: (2026)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
by: Fan, Tao, et al.
Published: (2021)

Policy Gradient for Robust Markov Decision Processes
by: Wang, Qiuhao, et al.
Published: (2024)

Supervised Score-Based Modeling by Gradient Boosting
by: Zhao, Changyuan, et al.
Published: (2024)

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation
by: Chu, Rui, et al.
Published: (2026)

Vanilla Gradient Descent for Oblique Decision Trees
by: Panda, Subrat Prasad, et al.
Published: (2024)

Probabilistically Robust Watermarking of Neural Networks
by: Pautov, Mikhail, et al.
Published: (2024)

A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
by: Audemard, Gilles, et al.
Published: (2025)

Robust Multi-bit Text Watermark with LLM-based Paraphrasers
by: Xu, Xiaojun, et al.
Published: (2024)

Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)

Latent-Mark: An Audio Watermark Robust to Neural Resynthesis
by: Chen, Yen-Shan, et al.
Published: (2026)

Gradient Boosting Reinforcement Learning
by: Fuhrer, Benjamin, et al.
Published: (2024)

The Coding Limits of Robust Watermarking for Generative Models
by: Francati, Danilo, et al.
Published: (2025)

CODE ACROSTIC: Robust Watermarking for Code Generation
by: Lin, Li, et al.
Published: (2025)

PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods
by: Jeon, WooJae, et al.
Published: (2024)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)

Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
by: Bossens, David M.
Published: (2023)

Cross-Attention Watermarking of Large Language Models
by: Baldassini, Folco Bertini, et al.
Published: (2024)

DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation
by: An, Hyeseon, et al.
Published: (2025)

Robust Client-Server Watermarking for Split Federated Learning
by: Tang, Jiaxiong, et al.
Published: (2025)

Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees
by: Tanna, Aditya, et al.
Published: (2026)

Invariant-based Robust Weights Watermark for Large Language Models
by: Guo, Qingxiao, et al.
Published: (2025)

Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
by: Idrissi, Badr Youbi, et al.
Published: (2025)

RAW: Robust Avatar Watermarking -- Benchmarking and Baseline
by: Parry, Jack, et al.
Published: (2026)

Protecting Your Voice: Temporal-aware Robust Watermarking
by: Li, Yue, et al.
Published: (2025)

AXIL: Exact Instance Attribution for Gradient Boosting
by: Geertsema, Paul, et al.
Published: (2023)

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision
by: Xia, Yuyang, et al.
Published: (2025)

PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
by: Xue, Jiaqi, et al.
Published: (2025)

Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
by: Nayak, Srikumar
Published: (2026)

On the Robustness of Watermarking for Autoregressive Image Generation
by: Müller, Andreas, et al.
Published: (2026)

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation
by: Oh, Giyeong, et al.
Published: (2025)

SoK: How Robust is Audio Watermarking in Generative AI models?
by: Wen, Yizhu, et al.
Published: (2025)

InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance
by: Xu, Rui, et al.
Published: (2024)

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
by: Guan, Lei, et al.
Published: (2023)