Image de couverture de livre

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Jinfeng, Chen, Yuefeng, Liu, Xiangyu, Huang, Longtao, Zhang, Rong, Xue, Hui
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

BERTs are Generative In-Context Learners
par: Samuel, David
Publié: (2024)

Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
par: Ruzzetti, Elena Sofia, et autres
Publié: (2023)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration
par: Ren, Shaola, et autres
Publié: (2025)

Towards the Resistance of Neural Network Watermarking to Fine-tuning
par: Tang, Ling, et autres
Publié: (2025)

UniErase: Towards Balanced and Precise Unlearning in Language Models
par: Yu, Miao, et autres
Publié: (2025)

General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level
par: Shi, Bingkang, et autres
Publié: (2023)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
par: Liu, Yichen, et autres
Publié: (2022)

DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer
par: Wei, Jinfeng, et autres
Publié: (2024)

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
par: Wang, Ziliang, et autres
Publié: (2025)

Improving Fairness in LLMs Through Testing-Time Adversaries
par: Gregio, Isabela Pereira, et autres
Publié: (2025)

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
par: Xu, Ziwen, et autres
Publié: (2026)

RedacBench: Can AI Erase Your Secrets?
par: Jeon, Hyunjun, et autres
Publié: (2026)

Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
par: Cheng, Yinjie, et autres
Publié: (2025)

SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
par: Dai, Lu, et autres
Publié: (2025)

Enhancing the QA Model through a Multi-domain Debiasing Framework
par: Wang, Yuefeng, et autres
Publié: (2026)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
par: Huang, Kaixuan, et autres
Publié: (2025)

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
par: Yang, Junxiao, et autres
Publié: (2026)

Fairness of Automatic Speech Recognition: Looking Through a Philosophical Lens
par: Choi, Anna Seo Gyeong, et autres
Publié: (2025)

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations
par: Dumpala, Sri Harsha, et autres
Publié: (2024)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
par: Hua, Wenyue, et autres
Publié: (2023)

LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction
par: Zhang, Jensen, et autres
Publié: (2025)

Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
par: Liu, Junhua, et autres
Publié: (2024)

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
par: Tan, Weihao, et autres
Publié: (2024)

Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
par: Huang, Guanhua, et autres
Publié: (2024)

DepFlow: Disentangled Speech Generation to Mitigate Semantic Bias in Depression Detection
par: Li, Yuxin, et autres
Publié: (2026)

Outraged AI: Large language models prioritise emotion over cost in fairness enforcement
par: Liu, Hao, et autres
Publié: (2025)

DiscoSum: Discourse-aware News Summarization
par: Spangher, Alexander, et autres
Publié: (2025)

Advancing and Benchmarking Personalized Tool Invocation for LLMs
par: Huang, Xu, et autres
Publié: (2025)

Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
par: Wang, Dongwei, et autres
Publié: (2024)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
par: Chen, Wei, et autres
Publié: (2025)

On Fairness of Unified Multimodal Large Language Model for Image Generation
par: Liu, Ming, et autres
Publié: (2025)

$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
par: Su, Zian, et autres
Publié: (2025)

Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling
par: Huang, Jiaxin, et autres
Publié: (2024)

ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
par: Liu, Xiangyu, et autres
Publié: (2025)

ICDM 2020 Knowledge Graph Contest: Consumer Event-Cause Extraction
par: He, Congqing, et autres
Publié: (2021)

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
par: He, Bingxiang, et autres
Publié: (2024)

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
par: Zhang, Zheng, et autres
Publié: (2025)

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
par: Xu, Haolei, et autres
Publié: (2026)

OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis
par: Liao, Xinfeng, et autres
Publié: (2025)

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
par: Pan, Dayan, et autres
Publié: (2025)