Model Correlation Detection via Random Selection Probing
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ruibo, Zhang, Sheng, Wu, Yihan, Zheng, Tong, Mai, Peihua, Huang, Heng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
by: Cui, Xuehao, et al.
Published: (2026)
by: Cui, Xuehao, et al.
Published: (2026)
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025)
by: Guo, Junfeng, et al.
Published: (2025)
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
by: Wu, Yihan, et al.
Published: (2024)
by: Wu, Yihan, et al.
Published: (2024)
Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking
by: Zhang, Jingqi, et al.
Published: (2025)
by: Zhang, Jingqi, et al.
Published: (2025)
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining
by: Liu, Chenxi, et al.
Published: (2025)
by: Liu, Chenxi, et al.
Published: (2025)
On Prediction Feature Assignment in the Heckman Selection Model
by: Mai, Huy, et al.
Published: (2023)
by: Mai, Huy, et al.
Published: (2023)
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)
by: Wu, Yihan, et al.
Published: (2023)
Fast and Lightweight Backdoor Detection via Head Random Probing
by: Yu, Yinbo, et al.
Published: (2026)
by: Yu, Yinbo, et al.
Published: (2026)
ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models
by: Zheng, Guangtao, et al.
Published: (2025)
by: Zheng, Guangtao, et al.
Published: (2025)
Detection of Correlated Random Vectors
by: Elimelech, Dor, et al.
Published: (2024)
by: Elimelech, Dor, et al.
Published: (2024)
Selective Denoising Diffusion Model for Time Series Anomaly Detection
by: Obata, Kohei, et al.
Published: (2026)
by: Obata, Kohei, et al.
Published: (2026)
Exploring Topological Bias in Heterogeneous Graph Neural Networks
by: Zhang, Yihan
Published: (2025)
by: Zhang, Yihan
Published: (2025)
NeuroDx-LM: A Clinical Large-Scale Model for EEG-based Neurological Disorder Detection
by: Jin, Guanghao, et al.
Published: (2025)
by: Jin, Guanghao, et al.
Published: (2025)
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
by: Hu, Zhengmian, et al.
Published: (2023)
by: Hu, Zhengmian, et al.
Published: (2023)
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
by: Wu, Xingyu, et al.
Published: (2024)
by: Wu, Xingyu, et al.
Published: (2024)
From Lists to Emojis: How Format Bias Affects Model Alignment
by: Zhang, Xuanchang, et al.
Published: (2024)
by: Zhang, Xuanchang, et al.
Published: (2024)
Improving Group Robustness on Spurious Correlation via Evidential Alignment
by: Ye, Wenqian, et al.
Published: (2025)
by: Ye, Wenqian, et al.
Published: (2025)
LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)
by: Skinner, Caleb, et al.
Published: (2026)
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
by: Qi, Tong, et al.
Published: (2023)
by: Qi, Tong, et al.
Published: (2023)
RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
by: Abdelmaksoud, Mohamed, et al.
Published: (2026)
by: Abdelmaksoud, Mohamed, et al.
Published: (2026)
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
by: Liang, Hongyu, et al.
Published: (2025)
by: Liang, Hongyu, et al.
Published: (2025)
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences
by: Nagaraj, Manish, et al.
Published: (2025)
by: Nagaraj, Manish, et al.
Published: (2025)
Mitigating Watermark Forgery in Generative Models via Randomized Key Selection
by: Aremu, Toluwani, et al.
Published: (2025)
by: Aremu, Toluwani, et al.
Published: (2025)
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
Training-free Heterogeneous Graph Condensation via Data Selection
by: Liang, Yuxuan, et al.
Published: (2024)
by: Liang, Yuxuan, et al.
Published: (2024)
Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation
by: Zhang, Shu-Hao, et al.
Published: (2026)
by: Zhang, Shu-Hao, et al.
Published: (2026)
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
by: Liu, Huafeng, et al.
Published: (2024)
by: Liu, Huafeng, et al.
Published: (2024)
Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2025)
by: Shen, Zongxin, et al.
Published: (2025)
Capturing Conditional Dependence via Auto-regressive Diffusion Models
by: Huang, Xunpeng, et al.
Published: (2025)
by: Huang, Xunpeng, et al.
Published: (2025)
Towards Fundamental Limits for Active Multi-distribution Learning
by: Zhang, Chicheng, et al.
Published: (2025)
by: Zhang, Chicheng, et al.
Published: (2025)
Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention
by: Liu, Moyang, et al.
Published: (2025)
by: Liu, Moyang, et al.
Published: (2025)
MetaOOD: Automatic Selection of OOD Detection Models
by: Qin, Yuehan, et al.
Published: (2024)
by: Qin, Yuehan, et al.
Published: (2024)
An Ensemble Framework for Unbiased Language Model Watermarking
by: Wu, Yihan, et al.
Published: (2025)
by: Wu, Yihan, et al.
Published: (2025)
Analyzing and Evaluating Unbiased Language Model Watermark
by: Wu, Yihan, et al.
Published: (2025)
by: Wu, Yihan, et al.
Published: (2025)
Improved Unbiased Watermark for Large Language Models
by: Chen, Ruibo, et al.
Published: (2025)
by: Chen, Ruibo, et al.
Published: (2025)
An Efficient Inference Framework for Early-exit Large Language Models
by: Miao, Ruijie, et al.
Published: (2024)
by: Miao, Ruijie, et al.
Published: (2024)
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)
by: Cao, Yihan, et al.
Published: (2023)
Online Learning with Probing for Sequential User-Centric Selection
by: Xu, Tianyi, et al.
Published: (2025)
by: Xu, Tianyi, et al.
Published: (2025)
Similar Items
-
MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
by: Cui, Xuehao, et al.
Published: (2026) -
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025) -
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
by: Wu, Yihan, et al.
Published: (2024) -
Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking
by: Zhang, Jingqi, et al.
Published: (2025) -
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)