Jindong Gu

According to our database, Jindong Gu authored at least 117 papers between 2018 and 2026.

Collaborative distances:

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

2026

Text-guided camouflaged object detection.

Zefeng Chen, Yunqi Xue, Zhijiang Li, Philip Torr, Jindong Gu

Pattern Recognit., 2026

2025

True Multimodal In-Context Learning Needs Attention to the Visual Context.

Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

CoRR, July, 2025

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction.

Gengyuan Zhang, Tanveer Hannan, Hermine Kleiner, Beste Aydemir, Xinyu Xie, Jian Lan, Thomas Seidl, Volker Tresp, Jindong Gu

CoRR, June, 2025

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs.

Yixuan Wu, Yang Zhang, Jian Wu, Philip H. S. Torr, Jindong Gu

CoRR, June, 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

CoRR, June, 2025

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs.

Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp

CoRR, May, 2025

Image Tokens Matter: 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

CoRR, May, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang

CoRR, May, 2025

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.

Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Motwani

CoRR, April, 2025

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection.

Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister

CoRR, April, 2025

ShieldGemma 2: Robust and Tractable Image Content Moderation.

Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan

CoRR, April, 2025

Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models.

Hao Cheng, Erjia Xiao, Yichi Wang, Kaidi Xu, Mengshu Sun, Jindong Gu, Renjing Xu

CoRR, March, 2025

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing.

Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He

ACM Trans. Knowl. Discov. Data, February, 2025

Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack.

Chenhe Gu, Jindong Gu, Andong Hua, Yao Qin

CoRR, February, 2025

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

CoRR, February, 2025

Safety at Scale: A Comprehensive Survey of Large Model Safety.

Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang

CoRR, February, 2025

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak.

Erjia Xiao, Hao Cheng, Jing Shao, Jinhao Duan, Kaidi Xu, Le Yang, Jindong Gu, Renjing Xu

CoRR, January, 2025

FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings.

Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp

CoRR, January, 2025

Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs.

Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue

CoRR, January, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Reliable Evaluation of Adversarial Transferability.

Wenqian Yu, Jindong Gu, Zhijiang Li, Philip Torr

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos.

Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models.

Kuofeng Gao, Shutao Xia, Ke Xu, Philip Torr, Jindong Gu

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

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

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

FedPop: Federated Population-based Hyperparameter Tuning.

Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp

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

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

SafetyDPO: 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

CoRR, 2024

Uncovering Vision Modality Threats in Image-to-Image Tasks.

Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu

CoRR, 2024

UVCG: Leveraging Temporal Consistency for Universal Video Protection.

Kaizhou Li, Jindong Gu, Xinchun Yu, Junjie Cao, Yansong Tang, Xiao-Ping Zhang

CoRR, 2024

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

CoRR, 2024

Multimodal Pragmatic Jailbreak on Text-to-image Models.

Tong Liu, Zhixin Lai, Gengyuan Zhang, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu

CoRR, 2024

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.

Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu

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

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

CoRR, 2024

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang

CoRR, 2024

Localizing Events in Videos with Multimodal Queries.

Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

CoRR, 2024

Learning Visual Prompts for Guiding the Attention of Vision Transformers.

Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip Torr, Ashkan Khakzar

CoRR, 2024

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.

Hao Cheng, Erjia Xiao, Jiahang Cao, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu

CoRR, 2024

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models.

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

CoRR, 2024

Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.

Yang Bai, Ge Pei, Jindong Gu, Yong Yang, Xingjun Ma

CoRR, 2024

Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples.

Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip Torr, Wei Liu, Zhifeng Li

CoRR, 2024

Responsible Generative AI: What to Generate and What Not.

Jindong Gu

CoRR, 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

CoRR, 2024

Model-agnostic Origin Attribution of Generated Images with Few-shot Examples.

Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

CoRR, 2024

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr

CoRR, 2024

An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models.

Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr

CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.

Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

CoRR, 2024

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.

Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu

CoRR, 2024

Can Large Language Model Agents Simulate Human Trust Behavior?

Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Provably Better Explanations with Optimized Aggregation of Feature Attributions.

Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Influencer Backdoor Attack on Semantic Segmentation.

Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Visual Question Decomposition on Multimodal Large Language Models.

Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Adversarial Transferability via Model Alignment.

Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution.

Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

Proceedings of the Computer Vision - ECCV 2024, 2024

Latent Guard: A Safety Framework for Text-to-Image Generation.

Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati

Proceedings of the Computer Vision - ECCV 2024, 2024

Dataset Distillation by Automatic Training Trajectories.

Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz

Proceedings of the Computer Vision - ECCV 2024, 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

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

Initialization Matters for Adversarial Transfer Learning.

Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.

Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP.

Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr

Proceedings of the 35th British Machine Vision Conference, 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.

Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.

Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

XAI for In-hospital Mortality Prediction via Multimodal ICU Data.

Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He

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

Understanding and Improving In-Context Learning on Vision-language Models.

Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu

CoRR, 2023

Benchmarking Robustness of Text-Image Composed Retrieval.

Shitong Sun, Jindong Gu, Shaogang Gong

CoRR, 2023

SPOT! Revisiting Video-Language Models for Event Understanding.

Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp

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

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr

CoRR, 2023

Towards Robust Prompts on Vision-Language Models.

Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin

CoRR, 2023

Explainability and Robustness of Deep Visual Classification Models.

Jindong Gu

CoRR, 2023

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.

Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-event Video-Text Retrieval.

Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.

Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Do DALL-E and Flamingo Understand Each Other?

Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Backdoor Defense via Adaptively Splitting Poisoned Dataset.

Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks.

Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.

Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Explainability and robustness of deep visual classification models.

Jindong Gu

PhD thesis, 2022

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.

Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

CoRR, 2022

Towards Efficient Adversarial Training on Vision Transformers.

Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 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

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness.

Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2022, 2022

Are Vision Transformers Robust to Patch Perturbations?

Jindong Gu, Volker Tresp, Yao Qin

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Adversarial Examples on Segmentation Models Can be Easy to Transfer.

Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr

CoRR, 2021

Simple Distillation Baselines for Improving Small Self-supervised Models.

Jindong Gu, Wei Liu, Yonglong Tian

CoRR, 2021

Attacking Adversarial Attacks as A Defense.

Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks.

Jindong Gu, Rui Zhao, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2021

Effective and Efficient Vote Attack on Capsule Networks.

Jindong Gu, Baoyuan Wu, Volker Tresp

Proceedings of the 9th International Conference on Learning Representations, 2021

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.

Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Capsule Network Is Not More Robust Than Convolutional Network.

Jindong Gu, Volker Tresp, Han Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Interpretable Graph Capsule Networks for Object Recognition.

Jindong Gu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interpretable Graph Capsule Networks for Object Recognition.

Jindong Gu, Volker Tresp

CoRR, 2020

Search for Better Students to Learn Distilled Knowledge.

Jindong Gu, Volker Tresp

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Improving the Robustness of Capsule Networks to Image Affine Transformations.

Jindong Gu, Volker Tresp

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Introspective Learning by Distilling Knowledge from Online Self-explanation.

Jindong Gu, Zhiliang Wu, Volker Tresp

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Neural Network Memorization Dissection.

Jindong Gu, Volker Tresp

CoRR, 2019

Contextual Prediction Difference Analysis.

Jindong Gu, Volker Tresp

CoRR, 2019

Semantics for Global and Local Interpretation of Deep Neural Networks.

Jindong Gu, Volker Tresp

CoRR, 2019

Understanding Bias in Machine Learning.

Jindong Gu, Daniela Oelke

CoRR, 2019

Saliency Methods for Explaining Adversarial Attacks.

Jindong Gu, Volker Tresp

CoRR, 2019

2018

Understanding Individual Decisions of CNNs via Contrastive Backpropagation.

Jindong Gu, Yinchong Yang, Volker Tresp

Proceedings of the Computer Vision - ACCV 2018, 2018