Xiaojun Jia

According to our database, Xiaojun Jia authored at least 99 papers between 2005 and 2025.

Collaborative distances:

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

2025

PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems.

Qi Guo, Xiaojun Jia, Shanmin Pang, Simeng Qin, Lin Wang, Ju Jia, Yang Liu, Qing Guo

CoRR, August, 2025

The Emotional Baby Is Truly Deadly: Does your Multimodal Large Reasoning Model Have Emotional Flattery towards Humans?

Yuan Xun, Xiaojun Jia, Xinwei Liu, Hua Zhang

CoRR, August, 2025

GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Simeng Qin, Xiaochun Cao

CoRR, August, 2025

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation.

Tianrui Lou, Xiaojun Jia, Siyuan Liang, Jiawei Liang, Ming Zhang, Yanjun Xiao, Xiaochun Cao

CoRR, July, 2025

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, Kui Ren

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.

Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan

CoRR, June, 2025

Robust Anti-Backdoor Instruction Tuning in LVLMs.

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

CoRR, June, 2025

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence.

Zhitao Zeng, Zhu Zhuo, Xiaojun Jia, Erli Zhang, Junde Wu, Jiaan Zhang, Yuxuan Wang, Chang Han Low, Jian Jiang, Zilong Zheng, Xiaochun Cao, Yutong Ban, Qi Dou, Yang Liu, Yueming Jin

CoRR, June, 2025

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery.

Haowei Wang, Junjie Wang, Xiaojun Jia, Rupeng Zhang, Mingyang Li, Zhe Liu, Yang Liu, Qing Wang

CoRR, May, 2025

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment.

Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu

CoRR, May, 2025

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework.

Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong

CoRR, May, 2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models.

Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Zhe Wang, Xingjian Du, Shun Zhang, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Xiaojun Jia, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Haoyang Li, Yiming Li, Xiaobin Zhuang, Yang Liu, Haibo Hu, Zhuo Chen, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, XiaoFeng Wang, Wenyuan Xu, Wei Dong, Xinfeng Li

CoRR, May, 2025

AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models.

Guangke Chen, Fu Song, Zhe Zhao, Xiaojun Jia, Yang Liu, Yanchen Qiao, Weizhe Zhang

CoRR, May, 2025

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems.

Zhiyuan Chang, Mingyang Li, Xiaojun Jia, Junjie Wang, Yuekai Huang, Ziyou Jiang, Yang Liu, Qing Wang

CoRR, May, 2025

No Query, No Access.

Wenqiang Wang, Siyuan Liang, Yangshijie Zhang, Xiaojun Jia, Hao Lin, Xiaochun Cao

CoRR, May, 2025

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs.

Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang

CoRR, May, 2025

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models.

Jin Xie, Ruishi He, Songze Li, Xiaojun Jia, Shouling Ji

CoRR, April, 2025

Inception: Jailbreak the Memory Mechanism of Text-to-Image Generation Systems.

Shiqian Zhao, Jiayang Liu, Yiming Li, Runyi Hu, Xiaojun Jia, Wenshu Fan, Xinfeng Li, Jie Zhang, Wei Dong, Tianwei Zhang, Luu Anh Tuan

CoRR, April, 2025

A Vision for Auto Research with LLM Agents.

Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models.

Xiaojun Jia, Sensen Gao, Simeng Qin, Ke Ma, Xinfeng Li, Yihao Huang, Wei Dong, Yang Liu, Xiaochun Cao

CoRR, March, 2025

Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning.

Lizhen Xu, Xiuxiu Bai, Xiaojun Jia, Jianwu Fang, Shanmin Pang

CoRR, March, 2025

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management.

Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen

CoRR, March, 2025

PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models.

Xinwei Liu, Xiaojun Jia, Yuan Xun, Hua Zhang, Xiaochun Cao

CoRR, February, 2025

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs.

Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

CoRR, February, 2025

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models.

Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, XiaoFeng Wang, Bo Li

CoRR, January, 2025

NSB-H²GAN: "Negative Sample"-Boosted Hierarchical Heterogeneous Graph Attention Network for Interpretable Classification of Whole-Slide Images.

Meiyan Liang, Shupeng Zhang, Xikai Wang, Bo Li, Muhammad Hamza Javed, Xiaojun Jia, Lin Wang

IEEE Trans. Image Process., 2025

Scale-Invariant Adversarial Attack Against Arbitrary-Scale Super-Resolution.

Yihao Huang, Xin Luo, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Weikai Miao, Geguang Pu, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2025

Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models.

Qi Guo, Shanmin Pang, Xiaojun Jia, Yang Liu, Qing Guo

IEEE Trans. Inf. Forensics Secur., 2025

Dual-track collaboration: Joint processing of heterogeneous positive and negative graph convolutional network for whole-slide image analysis.

Meiyan Liang, Xikai Wang, Bo Li, Shupeng Zhang, Muhammad Hamza Javed, Yuxuan Wang, Xiaojun Jia, Lin Wang

Comput. Methods Programs Biomed., 2025

PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage.

Wenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings.

Yuanhe Zhang, Zhenhong Zhou, Wei Zhang, Xinyue Wang, Xiaojun Jia, Yang Liu, Sen Su

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Perception-Guided Jailbreak Against Text-to-Image Models.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Crabs: Consuming Resrouce via Auto-generation for LLM-DoS Attack under Black-box Settings.

Yuanhe Zhang, Zhenhong Zhou, Wei Zhang, Xinyue Wang, Xiaojun Jia, Yang Liu, Sen Su

CoRR, 2024

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context.

Zhiyuan Chang, Mingyang Li, Xiaojun Jia, Junjie Wang, Yuekai Huang, Qing Wang, Yihao Huang, Yang Liu

CoRR, 2024

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models.

Ma Teng, Xiaojun Jia, Ranjie Duan, Li Xinfeng, Yihao Huang, Chu Zhixuan, Yang Liu, Wenqi Ren

CoRR, 2024

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization.

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Ranjie Duan, Xiaoshuang Jia, Shaowei Yuan, Zhiqiang Wang, Xiaojun Jia

CoRR, 2024

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks.

Chen Zhou, Peng Cheng, Junfeng Fang, Yifan Zhang, Yibo Yan, Xiaojun Jia, Yanyan Xu, Kun Wang, Xiaochun Cao

CoRR, 2024

Global Challenge for Safe and Secure LLMs Track 1.

Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See-Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao

CoRR, 2024

MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue.

Fengxiang Wang, Ranjie Duan, Peng Xiao, Xiaojun Jia, Yuefeng Chen, Chongwen Wang, Jialing Tao, Hang Su, Jun Zhu, Hui Xue

CoRR, 2024

Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack.

Xiaojun Jia, Sensen Gao, Qing Guo, Ke Ma, Yihao Huang, Simeng Qin, Yang Liu, Ivor W. Tsang, Xiaochun Cao

CoRR, 2024

CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning.

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

CoRR, 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

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