Jia, Xiaojun

25 publications

ICCV 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

ICCV 2025 Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning Lizhen Xu, Xiuxiu Bai, Xiaojun Jia, Jianwu Fang, Shanmin Pang

NeurIPS 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

ICCV 2025 AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts Yufan Liu, Wanqian Zhang, Huashan Chen, Lin Wang, Xiaojun Jia, Zheng Lin, Weiping Wang

ICML 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

ICML 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

ICCV 2025 Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models Teng Ma, Xiaojun Jia, Ranjie Duan, Xinfeng Li, Yihao Huang, Xiaoshuang Jia, Zhixuan Chu, Wenqi Ren

ICLR 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

AAAI 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

NeurIPS 2025 SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia

TMLR 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

ECCV 2024 Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor Tsang, Qing Guo

AAAI 2024 Does Few-Shot Learning Suffer from Backdoor Attacks? Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao

CVPR 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

ICMLW 2024 On the Multi-Modal Vulnerability of Diffusion Models Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu

ICLR 2024 Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao

AAAI 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

ICLR 2023 Inequality Phenomenon in $l_{\infty}$-Adversarial Training, and Its Unrealized Threats Ranjie Duan, YueFeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue'

CVPRW 2023 Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun

ECCV 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

AAAI 2022 Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

CVPR 2022 LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCV 2022 Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCV 2022 Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao

ICMLW 2021 Defending Against Model Stealing via Verifying Embedded External Features Linghui Zhu, Yiming Li, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao