:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Dongliang, Hu, Mengxuan, Guan, Zihan, Guo, Junfeng, Hartvigsen, Thomas, Li, Sheng
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.18267
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
by: Guo, Dongliang, et al.
Published: (2025)

Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models
by: Hu, Mengxuan, et al.
Published: (2026)

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
by: Zhang, Jielu, et al.
Published: (2023)

MEGen: Generative Backdoor into Large Language Models via Model Editing
by: Qiu, Jiyang, et al.
Published: (2024)

Efficient Knowledge Editing via Minimal Precomputation
by: Gupta, Akshat, et al.
Published: (2025)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)

Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
by: Guan, Zihan, et al.
Published: (2026)

Large Language Models for Causal Discovery: Current Landscape and Future Directions
by: Wan, Guangya, et al.
Published: (2024)

UOR: Universal Backdoor Attacks on Pre-trained Language Models
by: Du, Wei, et al.
Published: (2023)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation
by: Zhou, Zhongliang, et al.
Published: (2024)

ReasonEdit: Editing Vision-Language Models using Human Reasoning
by: Qiu, Jiaxing, et al.
Published: (2026)

Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment
by: Hu, Mengxuan, et al.
Published: (2026)

Revisiting Pre-trained Language Models for Vulnerability Detection
by: Li, Youpeng, et al.
Published: (2025)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)

Unlocking Emergent Modularity in Large Language Models
by: Qiu, Zihan, et al.
Published: (2023)

Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
by: Guo, Huihui, et al.
Published: (2025)

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models
by: Peng, Zuquan, et al.
Published: (2025)

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
by: Miah, Abdullah Arafat, et al.
Published: (2024)

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics
by: Duan, ChenRui, et al.
Published: (2024)

Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training
by: Qin, Yiwei, et al.
Published: (2026)

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
by: Zhi, Yuhan, et al.
Published: (2025)

Exploring Backdoor Vulnerabilities of Chat Models
by: Hao, Yunzhuo, et al.
Published: (2024)

Pre-train and Fine-tune: Recommenders as Large Models
by: Jiang, Zhenhao, et al.
Published: (2025)

Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
by: Chen, Simin, et al.
Published: (2025)

Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
by: Kong, Cong, et al.
Published: (2024)

How to Set the Learning Rate for Large-Scale Pre-training?
by: Zhou, Yunhua, et al.
Published: (2026)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
by: Zhao, Shuai, et al.
Published: (2024)

Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model
by: Chen, Jinyin, et al.
Published: (2024)

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)

Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
by: Verma, Sahil, et al.
Published: (2023)

Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
by: Han, Tingxu, et al.
Published: (2024)

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
by: Liu, Xinwei, et al.
Published: (2025)

A Unified Understanding of Adversarial Vulnerability Regarding Unimodal Models and Vision-Language Pre-training Models
by: Zheng, Haonan, et al.
Published: (2024)

How to Set the Batch Size for Large-Scale Pre-training?
by: Zhou, Yunhua, et al.
Published: (2026)

CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion Models
by: Guo, Ji, et al.
Published: (2026)

Unlocking the Power of Large Language Models for Entity Alignment
by: Jiang, Xuhui, et al.
Published: (2024)

A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated Learning
by: Gai, Keke, et al.
Published: (2025)

Lifelong Knowledge Editing requires Better Regularization
by: Gupta, Akshat, et al.
Published: (2025)

Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
by: Yu, Liu, et al.
Published: (2025)

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
by: Tang, Shengkun, et al.
Published: (2026)