Gu, Jindong

53 publications

ICCV 2025 AlignGuard: Scalable Safety Alignment for Text-to-Image Generation Runtao Liu, I Chieh Chen, Jindong Gu, Jipeng Zhang, Renjie Pi, Qifeng Chen, Philip Torr, Ashkan Khakzar, Fabio Pizzati

WACV 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

NeurIPS 2025 Can Knowledge-Graph-Based Retrieval Augmented Generation Really Retrieve What You Need? Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou

WACV 2025 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

ICCV 2025 Fair Generation Without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu

CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

AAAI 2025 FedPop: Federated Population-Based Hyperparameter Tuning Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp

NeurIPS 2025 Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-Based Large Vision-Language Models via Latent Editing Weixing Wang, Zifeng Ding, Jindong Gu, Rui Cao, Christoph Meinel, Gerard de Melo, Haojin Yang

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

NeurIPS 2025 Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models Hao Cheng, Erjia Xiao, Jing Shao, Yichi Wang, Le Yang, Chao Shen, Philip Torr, Jindong Gu, Renjing Xu

CVPR 2025 Localizing Events in Videos with Multimodal Queries Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

CVPR 2025 Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu

ICML 2025 Primitive Vision: Improving Diagram Understanding in MLLMs Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton Van Den Hengel, Yuan Xue

NeurIPS 2025 REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites Divyansh Garg, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian Schroeder de Witt, Sumeet Ramesh Motwani

CVPR 2025 ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

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

ICLR 2024 An Image Is Worth 1000 Lies: Transferability of Adversarial Images Across Prompts on Vision-Language Models Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr

ICMLW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPSW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPS 2024 Can Large Language Model Agents Simulate Human Trust Behavior? Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li, Chengxing Xie, Canyu Chen

ECCV 2024 Dataset Distillation by Automatic Training Trajectories Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz

AAAI 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

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

AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

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

ECCV 2024 Improving Adversarial Transferability via Model Alignment Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu

ICLR 2024 Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu

ICLR 2024 Influencer Backdoor Attack on Semantic Segmentation Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao

CVPR 2024 Initialization Matters for Adversarial Transfer Learning Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin

ECCV 2024 Latent Guard: A Safety Framework for Text-to-Image Generation Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati

ECCV 2024 MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao

ICML 2024 Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner

ICLRW 2024 Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

CVPR 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

ICLRW 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

ECCV 2024 Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

ECCV 2024 Which Model Generated This Image? a Model-Agnostic Approach for Origin Attribution Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

CVPR 2023 Backdoor Defense via Adaptively Splitting Poisoned Dataset Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia

NeurIPS 2023 Benchmarking Robustness of Adaptation Methods on Pre-Trained Vision-Language Models Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp

NeurIPSW 2023 Benchmarking Robustness of Text-Image Composed Retrieval Shitong Sun, Jindong Gu, Shaogang Gong

ICCV 2023 Do DALL-E and Flamingo Understand Each Other? Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp

ICCV 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

ICCV 2023 Multi-Event Video-Text Retrieval Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp

ECCV 2022 Are Vision Transformers Robust to Patch Perturbations? Jindong Gu, Volker Tresp, Yao Qin

ICMLW 2022 Evaluating Model Robustness to Patch Perturbations Jindong Gu, Volker Tresp, Yao Qin

ECCV 2022 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr

ECCV 2022 Towards Efficient Adversarial Training on Vision Transformers Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

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

CVPR 2021 Capsule Network Is Not More Robust than Convolutional Network Jindong Gu, Volker Tresp, Han Hu

ICLR 2021 Effective and Efficient Vote Attack on Capsule Networks Jindong Gu, Baoyuan Wu, Volker Tresp

AAAI 2021 Interpretable Graph Capsule Networks for Object Recognition Jindong Gu