Xiaojun Jia

According to our database, Xiaojun Jia authored at least 56 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Fast Adversarial Training With Prior-Guided Knowledge.

Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Context-Aware Robust Fine-Tuning.

Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li

Int. J. Comput. Vis., May, 2024

A Survey on Transferability of Adversarial Examples Across Deep Neural Networks.

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr

Trans. Mach. Learn. Res., 2024

Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks.

Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks.

Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

Texture Re-Scalable Universal Adversarial Perturbation.

Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2024

RT-Attack: Jailbreaking Text-to-Image Models via Random Token.

Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo

CoRR, 2024

Perception-guided Jailbreak against Text-to-Image Models.

Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu

CoRR, 2024

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.

Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin

CoRR, 2024

Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake.

Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu

CoRR, 2024

Identity Inference from CLIP Models using Only Textual Data.

Songze Li, Ruoxi Cheng, Xiaojun Jia

CoRR, 2024

Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu

CoRR, 2024

Efficiently Adversarial Examples Generation for Visual-Language Models under Targeted Transfer Scenarios using Diffusion Models.

Qi Guo, Shanmin Pang, Xiaojun Jia, Qing Guo

CoRR, 2024

Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective.

Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu

CoRR, 2024

Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors.

Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu

CoRR, 2024

HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image.

Meiyan Liang, Xing Jiang, Jie Cao, Shupeng Zhang, Haishun Liu, Bo Li, Lin Wang, Cunlin Zhang, Xiaojun Jia

Comput. Methods Programs Biomed., 2024

Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection.

Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model.

Haodi Wang, Xiaojun Jia, Xiaochun Cao

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory.

Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds.

Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Does Few-Shot Learning Suffer from Backdoor Attacks?

Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree.

Meiyan Liang, Ru Wang, Jianan Liang, Lin Wang, Bo Li, Xiaojun Jia, Yu Zhang, Qinghui Chen, Tianyi Zhang, Cunlin Zhang

IEEE J. Biomed. Health Informatics, December, 2023

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.

Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen

CoRR, 2023

SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation.

Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiaochun Cao

CoRR, 2023

OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization.

Dongchen Han, Xiaojun Jia, Yang Bai, Jindong Gu, Yang Liu, Xiaochun Cao

CoRR, 2023

TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation.

Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao

CoRR, 2023

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao

CoRR, 2023

Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph.

Yulu Wang, Pengwen Dai, Xiaojun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training.

Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Inequality phenomenon in l_∞-adversarial training, and its unrealized threats.

Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection.

Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization.

Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Fast Adversarial Training With Learnable Adversarial Initialization.

Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao

IEEE Trans. Image Process., 2022

Context-Aware Robust Fine-Tuning.

Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li

CoRR, 2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features.

Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

CoRR, 2022

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal.

Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection.

Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training.

Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

LAS-AT: Adversarial Training with Learnable Attack Strategy.

Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Defending against Model Stealing via Verifying Embedded External Features.

Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A novel dual-biological-community swarm intelligence algorithm with a commensal evolution strategy for multimodal problems.

Hui Ren, Xiaochen Shen, Xiaojun Jia

J. Supercomput., 2021

Multi-source data fusion for economic data analysis.

Menggang Li, Fang Wang, Xiaojun Jia, Wenrui Li, Ting Li, Guangwei Rui

Neural Comput. Appl., 2021

Applying BERT to analyze investor sentiment in stock market.

Menggang Li, Wenrui Li, Fang Wang, Xiaojun Jia, Guangwei Rui

Neural Comput. Appl., 2021

One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction.

Xiaojun Jia, Zihao Liu

J. Control. Sci. Eng., 2021

An Effective and Robust Detector for Logo Detection.

Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang

CoRR, 2021

2020

Quantum network based on non-classical light.

Xiaolong Su, Meihong Wang, Zhihui Yan, Xiaojun Jia, Changde Xie, Kunchi Peng

Sci. China Inf. Sci., 2020

Financial Big Data Analysis and Early Warning Platform: A Case Study.

Yi Liang, Daiyong Quan, Fang Wang, Xiaojun Jia, Menggang Li, Ting Li

IEEE Access, 2020

Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples.

Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Identifying and Resisting Adversarial Videos Using Temporal Consistency.

Xiaojun Jia, Xingxing Wei, Xiaochun Cao

CoRR, 2019

Study of shrimp recognition methods using smart networks.

Zihao Liu, Xiaojun Jia, Xinsheng Xu

Comput. Electron. Agric., 2019

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples.

Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015

Quantum limits for cascaded nondegenerate optical parametric oscillators.

Wangyun Liu, Xiaojun Jia

Quantum Inf. Process., 2015

2009

The Mathematical Model and Applications of Coded Structured Light System for Object Detecting.

Xiaojun Jia, Guangxue Yue, Fang Mei

J. Comput., 2009

2005

An Encoded Mini-grid Structured Light Pattern for Dynamic Scenes.

Qingcang Yu, Xiaojun Jia, Jian Tao, Yun Zhao

Proceedings of the Advances in Intelligent Computing, 2005