Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Manjiang, Singh, Priyanka, Li, Xue, Cao, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026)
by: Chen, Wenyu, et al.
Published: (2026)
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
by: Kim, JongWoo, et al.
Published: (2024)
by: Kim, JongWoo, et al.
Published: (2024)
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
by: Du, Hao, et al.
Published: (2025)
by: Du, Hao, et al.
Published: (2025)
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning
by: Di, Zixiang, et al.
Published: (2026)
by: Di, Zixiang, et al.
Published: (2026)
Do LLMs Encode Functional Importance of Reasoning Tokens?
by: Singh, Janvijay, et al.
Published: (2026)
by: Singh, Janvijay, et al.
Published: (2026)
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
by: Zhang, Yuxiang, et al.
Published: (2025)
by: Zhang, Yuxiang, et al.
Published: (2025)
Rethinking Thinking Tokens: LLMs as Improvement Operators
by: Madaan, Lovish, et al.
Published: (2025)
by: Madaan, Lovish, et al.
Published: (2025)
Learning to Route LLMs with Confidence Tokens
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
by: Yang, Zhi, et al.
Published: (2025)
by: Yang, Zhi, et al.
Published: (2025)
One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache
by: Lu, Liming, et al.
Published: (2026)
by: Lu, Liming, et al.
Published: (2026)
Provable Long-Range Benefits of Next-Token Prediction
by: Cao, Xinyuan, et al.
Published: (2025)
by: Cao, Xinyuan, et al.
Published: (2025)
Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting
by: Amorin, Alvaro Paredes, et al.
Published: (2026)
by: Amorin, Alvaro Paredes, et al.
Published: (2026)
Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
by: Mahajan, Divyat, et al.
Published: (2025)
by: Mahajan, Divyat, et al.
Published: (2025)
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
by: Yu, Song, et al.
Published: (2026)
by: Yu, Song, et al.
Published: (2026)
CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention
by: Li, Qingbin, et al.
Published: (2025)
by: Li, Qingbin, et al.
Published: (2025)
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
by: Liu, Xiaogeng, et al.
Published: (2026)
by: Liu, Xiaogeng, et al.
Published: (2026)
Adaptive Computation Depth via Learned Token Routing in Transformers
by: Mohammed, Ahmed Abdelmuniem Abdalla
Published: (2026)
by: Mohammed, Ahmed Abdelmuniem Abdalla
Published: (2026)
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
by: Liu, Andrew, et al.
Published: (2024)
by: Liu, Andrew, et al.
Published: (2024)
Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs
by: Xu, Minghui, et al.
Published: (2026)
by: Xu, Minghui, et al.
Published: (2026)
Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
by: Yang, Zhihe, et al.
Published: (2025)
by: Yang, Zhihe, et al.
Published: (2025)
Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
by: Li, Meng, et al.
Published: (2025)
by: Li, Meng, et al.
Published: (2025)
Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs
by: Shen, Li, et al.
Published: (2026)
by: Shen, Li, et al.
Published: (2026)
PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under Subspace Calibration
by: Yu, Manjiang, et al.
Published: (2025)
by: Yu, Manjiang, et al.
Published: (2025)
Hypertokens: Holographic Associative Memory in Tokenized LLMs
by: Augeri, Christopher James
Published: (2025)
by: Augeri, Christopher James
Published: (2025)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
by: Zou, Tao, et al.
Published: (2025)
by: Zou, Tao, et al.
Published: (2025)
JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation
by: Yang, Yebin, et al.
Published: (2026)
by: Yang, Yebin, et al.
Published: (2026)
Tokenized Bandit for LLM Decoding and Alignment
by: Shin, Suho, et al.
Published: (2025)
by: Shin, Suho, et al.
Published: (2025)
Graph Tokenization for Bridging Graphs and Transformers
by: Guo, Zeyuan, et al.
Published: (2026)
by: Guo, Zeyuan, et al.
Published: (2026)
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
by: Meng, Haoming, et al.
Published: (2026)
by: Meng, Haoming, et al.
Published: (2026)
Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
by: Bui, Ngoc, et al.
Published: (2025)
by: Bui, Ngoc, et al.
Published: (2025)
Exploring Token-Space Manipulation in Latent Audio Tokenizers
by: Paissan, Francesco, et al.
Published: (2026)
by: Paissan, Francesco, et al.
Published: (2026)
TokenButler: Token Importance is Predictable
by: Akhauri, Yash, et al.
Published: (2025)
by: Akhauri, Yash, et al.
Published: (2025)
More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations
by: Wang, Mingze, et al.
Published: (2026)
by: Wang, Mingze, et al.
Published: (2026)
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs
by: Sung, Yi-Lin, et al.
Published: (2025)
by: Sung, Yi-Lin, et al.
Published: (2025)
Token Activation Map to Visually Explain Multimodal LLMs
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Similar Items
-
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026) -
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
by: Kim, JongWoo, et al.
Published: (2024) -
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
by: Du, Hao, et al.
Published: (2025) -
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025) -
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning
by: Di, Zixiang, et al.
Published: (2026)