Jindong Gu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
13
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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 |
| 2026 | AAAI | AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. | Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp |
| 2026 | ACL | Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society. | Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao, Nouha Dziri, Yuning Mao, Jia-Chen Gu, Jindong Gu |
| 2026 | ACL | Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models. | Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang |
| 2026 | ACL | You Only Need One Single Token to Refine Safety Alignment. | Wenqian Yu, Shuo Chen, Zhijiang Li, Zhipeng Wang, Jindong Gu |
| 2025 | AAAI | FedPop: Federated Population-based Hyperparameter Tuning. | Haokun Chen, Denis Krompa, Jindong Gu, Volker Tresp |
| 2025 | ACL | Multimodal Pragmatic Jailbreak on Text-to-image Models. | Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu |
| 2025 | ACL | FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. | Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp |
| 2025 | ACL | Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models. | Kuofeng Gao, Shutao Xia, Ke Xu, Philip Torr, Jindong Gu |
| 2025 | ACL | Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. | Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. | Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | LLM Jailbreak Detection for (Almost) Free! | Guorui Chen, Yifan Xia, Xiaojun Jia, Zhijiang Li, Philip Torr, Jindong Gu |
| 2025 | EMNLP | Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs. | Andong Hua, Kenan Tang, Chenhe Gu, Jindong Gu, Eric Wong, Yao Qin |
| 2025 | EMNLP | Can an Individual Manipulate the Collective Decisions of Multi-Agents? | Fengyuan Liu, Rui Zhao, Shuo Chen, Guohao Li, Philip Torr, Lei Han, Jindong Gu |
| 2025 | EMNLP | PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. | Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi |
| 2025 | EMNLP | Reimagining Safety Alignment with An Image. | Yifan Xia, Guorui Chen, Wenqian Yu, Zhijiang Li, Philip Torr, Jindong Gu |
| 2025 | ICCV | AlignGuard: Scalable Safety Alignment for Text-to-Image Generation. | Runtao Liu, Chen I Chieh, Jindong Gu, Jipeng Zhang, Renjie Pi, Qifeng Chen, Philip Torr, Ashkan Khakzar, Fabio Pizzati |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | WACV | 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 |
| 2025 | WACV | 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 |
| 2024 | AAAI | FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. | Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp |
| 2024 | AAAI | Does Few-Shot Learning Suffer from Backdoor Attacks? | Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao |
| 2024 | AAAI | Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. | Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea |
| 2024 | BMVC | As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. | Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr |
| 2024 | CVPR | Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. | Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu |
| 2024 | CVPR | Initialization Matters for Adversarial Transfer Learning. | Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Dataset Distillation by Automatic Training Trajectories. | Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz |
| 2024 | ECCV | Latent Guard: A Safety Framework for Text-to-Image Generation. | Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati |
| 2024 | ECCV | Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution. | Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu |
| 2024 | ECCV | MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models. | Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao |
| 2024 | ECCV | Improving Adversarial Transferability via Model Alignment. | Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu |
| 2024 | EMNLP | Visual Question Decomposition on Multimodal Large Language Models. | Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Influencer Backdoor Attack on Semantic Segmentation. | Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao |
| 2024 | ICLR | An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models. | Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr |
| 2024 | ICML | Provably Better Explanations with Optimized Aggregation of Feature Attributions. | Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner |
| 2023 | ACL | ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. | Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schtze, Volker Tresp |
| 2023 | BMVC | Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. | Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu |
| 2023 | CVPR | Backdoor Defense via Adaptively Splitting Poisoned Dataset. | Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia |
| 2023 | ICCV | Do DALL-E and Flamingo Understand Each Other? | Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp |
| 2023 | ICCV | FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. | Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp |
| 2023 | ICCV | Multi-event Video-Text Retrieval. | Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp |
| 2022 | ECCV | Are Vision Transformers Robust to Patch Perturbations? | Jindong Gu, Volker Tresp, Yao Qin |
| 2022 | ECCV | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. | Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr |
| 2022 | ECCV | Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. | Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao |
| 2022 | ECCV | Towards Efficient Adversarial Training on Vision Transformers. | Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu |
| 2021 | AAAI | Interpretable Graph Capsule Networks for Object Recognition. | Jindong Gu |
| 2021 | CVPR | Capsule Network Is Not More Robust Than Convolutional Network. | Jindong Gu, Volker Tresp, Han Hu |
| 2021 | ICLR | Effective and Efficient Vote Attack on Capsule Networks. | Jindong Gu, Baoyuan Wu, Volker Tresp |
| 2021 | IJCNN | Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. | Jindong Gu, Rui Zhao, Volker Tresp |
| 2020 | ACCV | Introspective Learning by Distilling Knowledge from Online Self-explanation. | Jindong Gu, Zhiliang Wu, Volker Tresp |
| 2020 | CVPR | Improving the Robustness of Capsule Networks to Image Affine Transformations. | Jindong Gu, Volker Tresp |
| 2020 | ECAI | Search for Better Students to Learn Distilled Knowledge. | Jindong Gu, Volker Tresp |
| 2018 | ACCV | Understanding Individual Decisions of CNNs via Contrastive Backpropagation. | Jindong Gu, Yinchong Yang, Volker Tresp |