Jindong Gu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 98

Top Topics

Image Generation

Affine Transform

Top Venues

Publications

Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip H. S. Torr, Zhifeng Li, Wei Liu
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. CoRR (2024)
Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR (2024)
Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip H. S. Torr, Volker Tresp, Jindong Gu
Localizing Events in Videos with Multimodal Queries. CoRR (2024)
Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip H. S. Torr, Wei Liu, Zhifeng Li
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples. CoRR (2024)
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip H. S. Torr
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models. CoRR (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)
Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip H. S. Torr
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR (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)
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)
Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. ICLR (2024)
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip H. S. Torr, Fabio Pizzati
Latent Guard: a Safety Framework for Text-to-image Generation. 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)
Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip H. S. Torr, Jindong Gu
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR (2024)
Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics? CoRR (2024)
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
Can Editing LLMs Inject Harm? CoRR (2024)
Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models. ICLR (2024)
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. AAAI (2024)
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI (2024)
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR (2024)
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI (2024)
Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR (2024)
Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz
Dataset Distillation by Automatic Training Trajectories. CoRR (2024)
Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR (2024)
Fengyuan Liu, Haochen Luo, Yiming Li, Philip H. S. Torr, Jindong Gu
Model-agnostic Origin Attribution of Generated Images with Few-shot Examples. CoRR (2024)
Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao
Influencer Backdoor Attack on Semantic Segmentation. ICLR (2024)
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip H. S. Torr, Ashkan Khakzar
Learning Visual Prompts for Guiding the Attention of Vision Transformers. CoRR (2024)
Hao Cheng, Erjia Xiao, Jiahang Cao, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models. 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)
Yang Bai, Ge Pei, Jindong Gu, Yong Yang, Xingjun Ma
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models. CoRR (2024)
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip H. S. Torr, Volker Tresp, Jindong Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR (2024)
Jindong Gu
Responsible Generative AI: What to Generate and What Not. CoRR (2024)
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
Multi-event Video-Text Retrieval. ICCV (2023)
Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) (2023)
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR (2023)
Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He
XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR (2023)
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
Multi-event Video-Text Retrieval. CoRR (2023)
Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp
SPOT! Revisiting Video-Language Models for Event Understanding. CoRR (2023)
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. CoRR (2023)
Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CoRR (2023)
Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin
Initialization Matters for Adversarial Transfer Learning. CoRR (2023)
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)
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. 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)
Wenqian Yu, Jindong Gu, Zhijiang Li, Philip H. S. Torr
Reliable Evaluation of Adversarial Transferability. CoRR (2023)
Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin
Towards Robust Prompts on Vision-Language Models. CoRR (2023)
Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
Backdoor Defense via Adaptively Splitting Poisoned Dataset. CoRR (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)
Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu
Understanding and Improving In-Context Learning on Vision-language Models. CoRR (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. NeurIPS (2023)
Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. CoRR (2023)
Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV (2023)
Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
FedPop: Federated Population-based Hyperparameter Tuning. CoRR (2023)
Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu
Improving Adversarial Transferability via Model Alignment. CoRR (2023)
Shitong Sun, Jindong Gu, Shaogang Gong
Benchmarking Robustness of Text-Image Composed Retrieval. CoRR (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR (2023)
Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. BMVC (2023)
Jindong Gu
Explainability and Robustness of Deep Visual Classification Models. CoRR (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)
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR (2023)
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
Do DALL-E and Flamingo Understand Each Other? ICCV (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)
Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia
Backdoor Defense via Adaptively Splitting Poisoned Dataset. CVPR (2023)
Haoheng Lan, Jindong Gu, Philip H. S. Torr, Hengshuang Zhao
Influencer Backdoor Attack on Semantic Segmentation. CoRR (2023)
Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
Towards Efficient Adversarial Training on Vision Transformers. CoRR (2022)
Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
Towards Efficient Adversarial Training on Vision Transformers. ECCV (13) (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)
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
Do DALL-E and Flamingo Understand Each Other? CoRR (2022)
Jindong Gu, Volker Tresp, Yao Qin
Are Vision Transformers Robust to Patch Perturbations? ECCV (12) (2022)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. ECCV (24) (2022)
Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR (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)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. CoRR (2022)
Jindong Gu, Baoyuan Wu, Volker Tresp
Effective and Efficient Vote Attack on Capsule Networks. ICLR (2021)
Jindong Gu, Rui Zhao, Volker Tresp
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN (2021)
Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
Attacking Adversarial Attacks as A Defense. CoRR (2021)
Jindong Gu
Interpretable Graph Capsule Networks for Object Recognition. AAAI (2021)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
Adversarial Examples on Segmentation Models Can be Easy to Transfer. CoRR (2021)
Jindong Gu, Wei Liu, Yonglong Tian
Simple Distillation Baselines for Improving Small Self-supervised Models. CoRR (2021)
Jindong Gu, Baoyuan Wu, Volker Tresp
Effective and Efficient Vote Attack on Capsule Networks. CoRR (2021)
Jindong Gu, Volker Tresp, Yao Qin
Are Vision Transformers Robust to Patch Perturbations? CoRR (2021)
Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI (2021)
Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR (2021)
Jindong Gu, Volker Tresp, Han Hu
Capsule Network Is Not More Robust Than Convolutional Network. CVPR (2021)
Jindong Gu, Volker Tresp, Han Hu
Capsule Network is Not More Robust than Convolutional Network. CoRR (2021)
Jindong Gu, Volker Tresp
Interpretable Graph Capsule Networks for Object Recognition. CoRR (2020)
Jindong Gu, Volker Tresp
Search for Better Students to Learn Distilled Knowledge. ECAI (2020)
Jindong Gu, Volker Tresp
Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR (2020)
Jindong Gu, Volker Tresp
Search for Better Students to Learn Distilled Knowledge. CoRR (2020)
Jindong Gu, Zhiliang Wu, Volker Tresp
Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) (2020)
Jindong Gu, Zhiliang Wu, Volker Tresp
Introspective Learning by Distilling Knowledge from Online Self-explanation. CoRR (2020)
Jindong Gu, Volker Tresp
Neural Network Memorization Dissection. CoRR (2019)
Jindong Gu, Volker Tresp
Saliency Methods for Explaining Adversarial Attacks. CoRR (2019)
Jindong Gu, Volker Tresp
Semantics for Global and Local Interpretation of Deep Neural Networks. CoRR (2019)
Jindong Gu, Volker Tresp
Improving the Robustness of Capsule Networks to Image Affine Transformations. CoRR (2019)
Jindong Gu, Daniela Oelke
Understanding Bias in Machine Learning. CoRR (2019)
Jindong Gu, Volker Tresp
Contextual Prediction Difference Analysis. CoRR (2019)
Jindong Gu, Yinchong Yang, Volker Tresp
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) (2018)
Jindong Gu, Yinchong Yang, Volker Tresp
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR (2018)