Xiaojun Jia

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 64

Top Topics

Forgery Detection

Diffusion Models

Image Feature Extraction

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Songze Li, Ruoxi Cheng, Xiaojun Jia
Identity Inference from CLIP Models using Only Textual Data. CoRR (2024)
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR (2024)
Haodi Wang, Xiaojun Jia, Xiaochun Cao
EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model. FG (2024)
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
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models. CoRR (2024)
Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR (2024)
Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu
Texture Re-scalable Universal Adversarial Perturbation. CoRR (2024)
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CoRR (2024)
Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake. CoRR (2024)
Meiyan Liang, Xing Jiang, Jie Cao, Shupeng Zhang, Haishun Liu, Bo Li, Lin Wang, Cunlin Zhang, Xiaojun Jia
HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image. Comput. Methods Programs Biomed. 247 (2024)
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI (2024)
Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. CoRR (2024)
Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132 (5) (2024)
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR (2024)
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR (2024)
Qi Guo, Shanmin Pang, Xiaojun Jia, Qing Guo
Efficiently Adversarial Examples Generation for Visual-Language Models under Targeted Transfer Scenarios using Diffusion Models. CoRR (2024)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu
Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors. CoRR (2024)
Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs. CoRR (2024)
Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective. CoRR (2024)
Dongchen Han, Xiaojun Jia, Yang Bai, Jindong Gu, Yang Liu, Xiaochun Cao
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization. CoRR (2023)
Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiaochun Cao
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation. CoRR (2023)
Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. CoRR (2023)
Yulu Wang, Pengwen Dai, Xiaojun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao
Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph. ACM Multimedia (2023)
Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. INTERSPEECH (2023)
Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR (2023)
Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. CoRR (2023)
Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR (2023)
Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. AAAI (2023)
Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue
-adversarial training, and its unrealized threats. ICLR (2023)
Meiyan Liang, Ru Wang, Jianan Liang, Lin Wang, Bo Li, Xiaojun Jia, Yu Zhang, Qinghui Chen, Tianyi Zhang, Cunlin Zhang
Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation. CoRR (2023)
Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection. CVPR Workshops (2023)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR (2023)
Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. CoRR (2023)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR (2022)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR (2022)
Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. ECCV (14) (2022)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) (2022)
Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR (2022)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR (2022)
Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
Defending against Model Stealing via Verifying Embedded External Features. AAAI (2022)
Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) (2022)
Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li
Context-Aware Robust Fine-Tuning. CoRR (2022)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao
Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Trans. Image Process. 31 (2022)
Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. CoRR (2022)
Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR (2022)
Menggang Li, Wenrui Li, Fang Wang, Xiaojun Jia, Guangwei Rui
Applying BERT to analyze investor sentiment in stock market. Neural Comput. Appl. 33 (10) (2021)
Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang
An Effective and Robust Detector for Logo Detection. CoRR (2021)
Hui Ren, Xiaochen Shen, Xiaojun Jia
A novel dual-biological-community swarm intelligence algorithm with a commensal evolution strategy for multimodal problems. J. Supercomput. 77 (10) (2021)
Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
Defending against Model Stealing via Verifying Embedded External Features. CoRR (2021)
Xiaojun Jia, Zihao Liu
One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction. J. Control. Sci. Eng. 2021 (2021)
Menggang Li, Fang Wang, Xiaojun Jia, Wenrui Li, Ting Li, Guangwei Rui
Multi-source data fusion for economic data analysis. Neural Comput. Appl. 33 (10) (2021)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao
Boosting Fast Adversarial Training with Learnable Adversarial Initialization. CoRR (2021)
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. ACM Multimedia (2020)
Yi Liang, Daiyong Quan, Fang Wang, Xiaojun Jia, Menggang Li, Ting Li
Financial Big Data Analysis and Early Warning Platform: A Case Study. IEEE Access 8 (2020)
Xiaolong Su, Meihong Wang, Zhihui Yan, Xiaojun Jia, Changde Xie, Kunchi Peng
Quantum network based on non-classical light. Sci. China Inf. Sci. 63 (8) (2020)
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. CoRR (2020)
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CVPR (2019)
Xiaojun Jia, Xingxing Wei, Xiaochun Cao
Identifying and Resisting Adversarial Videos Using Temporal Consistency. CoRR (2019)
Zihao Liu, Xiaojun Jia, Xinsheng Xu
Study of shrimp recognition methods using smart networks. Comput. Electron. Agric. 165 (2019)
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CoRR (2018)
Wangyun Liu, Xiaojun Jia
Quantum limits for cascaded nondegenerate optical parametric oscillators. Quantum Inf. Process. 14 (8) (2015)
Xiaojun Jia, Guangxue Yue, Fang Mei
The Mathematical Model and Applications of Coded Structured Light System for Object Detecting. J. Comput. 4 (1) (2009)
Qingcang Yu, Xiaojun Jia, Jian Tao, Yun Zhao
An Encoded Mini-grid Structured Light Pattern for Dynamic Scenes. ICIC (1) (2005)