• Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation [PDF][CODE]
  Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
• Initialization Matters for Adversarial Transfer Learning [PDF]
  Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
• Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds [PDF][CODE]
  Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
• An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models [PDF][CODE]
  Haochen Luo*, Jindong Gu*, Fengyuan Liu, Philip Torr
  International Conference on Learning Representations (ICLR) , 2024
• Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images [PDF][CODE]
  Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
  International Conference on Learning Representations (ICLR) , 2024
• Influencer Backdoor Attack on Semantic Segmentation [PDF]
  Haoheng Lan*, Jindong Gu*, Philip Torr, Hengshuang Zhao
  International Conference on Learning Representations (ICLR) , 2024
• Minimalism is King! High-Frequency Energy-based Screening for Data-Efficient Backdoor Attacks [PDF]
  Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao
  IEEE Transactions on Information Forensics & Security (TIFS) , 2024
• Does Few-shot Learning Suffer from Backdoor Attacks? [PDF]
  Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2024
• FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning [PDF]
  Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu†, Volker Tresp
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2024
• Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression [PDF]
  Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , 2024
• Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks [PDF]
  Xiaojun Jia, Jianshu Li, Jindong Gu†, Yang Bai, Xiaochun Cao
  IEEE Transactions on Information Forensics & Security (TIFS) , 2024

• Benchmarking Robustness of Adaptation Methods on Pre-trained VLMs [PDF][CODE]
  Shuo Chen*, Jindong Gu*, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp
  Dataset and Benchmark Track in (NeurIPS), 2023
• Do DALL-E and Flamingo Understand Each Other? [PDF][CODE]
  Hang Li*, Jindong Gu*, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
  International Conference on Computer Vision (ICCV), 2023
• Multi-event Video-Text Retrieval [PDF][CODE]
  Gengyuan Zhang, Jisen Ren, Jindong Gu†, Volker Tresp
  International Conference on Computer Vision (ICCV), 2023
• FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation [PDF]
  Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu†, Volker Tresp
  International Conference on Computer Vision (ICCV), 2023
• Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks [PDF]
  Jindong Gu, Fangyun Wei, Philip Torr, Han Hu
  British Machine Vision Conference (BMVC), 2023
• Backdoor Defense via Adaptively Splitting Poisoned Dataset [PDF][CODE]
  Kuofeng Gao*, Yang Bai*, Jindong Gu†, Yong Yang, Shu-Tao Xia†
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
• ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations [PDF][CODE]
  Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
  Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2023

• Are Vision Transformers robust to Patch-wise Perturbation? [PDF][CODE]
  Jindong Gu, Volker Tresp, Yao Qin
  European Conference on Computer Vision (ECCV) , 2022
• SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [PDF]
  Jindong Gu, Hengshuang Zhao, Volker Tresp, Phillip Torr
  European Conference on Computer Vision (ECCV) , 2022
• Towards Efficient Adversarial Training on Vision Transformers [PDF]
  Boxi Wu*, Jindong Gu*, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
  European Conference on Computer Vision (ECCV) , 2022
• Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal [PDF][CODE]
  Liu Xinwei, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao
  European Conference on Computer Vision (ECCV) , 2022

• Simple Distillation Baselines for Improving Small Self-supervised Models [PDF] [CODE]
  Jindong Gu, Wei Liu, Yonglong Tian
  Workshop in ICCV , 2021
• Capsule Network is Not More Robust than Convolutional Network [PDF][cn Blog]
  Jindong Gu, Volker Tresp, Han Hu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
• Effective and Efficient Vote Attack on Capsule Networks [PDF][CODE]
  Jindong Gu, Baoyuan Wu, Volker Tresp
  International Conference on Learning Representations (ICLR) , 2021
• Interpretable Graph Capsule Networks for Object Recognition [PDF] [CODE]
  Jindong Gu
  AAAI Conference on Artificial Intelligence (AAAI) , 2021

• Improving the Robustness of Capsule Networks to Image Affine Transformations [PDF][CODE]
  Jindong Gu, Volker Tresp
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2020
• Search for Better Students to Learn Distilled Knowledge [PDF][Blog]
  Jindong Gu, Volker Tresp
  European Conference on Artificial Intelligence (ECAI) , 2020

• Neural network memorization dissection [PDF]
  Jindong Gu, Volker Tresp
  Workshop on Machine Learning with Guarantees, NeurIPS , 2019
• Saliency Methods for Explaining Adversarial Attacks [PDF]
  Jindong Gu, Volker Tresp
  Human-Centric Machine Learning Workshop, NeurIPS , 2019

• Understanding Individual Decisions of CNNs via Contrastive Backpropagation [PDF] [CODE]
  Jindong Gu, Yinchong Yang, Volker Tresp
  Asian Conference on Computer Vision (ACCV), 2018

• Verification of classification decisions in Convolutional Neural Networks [PDF]
  Jindong Gu
  US Patent: US 2022/0019870 A1
• Method and processing unit for computer-implemented analysis of a classification model [PDF]
  Jindong Gu
  US Patent: US 2020/0334489 A1
• Siemens Inventions: 8 AI Inventions in Siemens Technology, Germany [Link]