Articles with public access mandates - Jindong GuLearn more
Available somewhere: 18
Segpgd: An effective and efficient adversarial attack for evaluating and boosting segmentation robustness
J Gu, H Zhao, V Tresp, PHS Torr
European Conference on Computer Vision (ECCV), 308-325, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Can Large Language Model Agents Simulate Human Trust Behavior?
C Xie, C Chen, F Jia, Z Ye, S Lai, K Shu, J Gu, A Bibi, Z Hu, D Jurgens, ...
Neural Information Processing Systems (NeurIPS), 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
An image is worth 1000 lies: Adversarial transferability across prompts on vision-language models
H Luo*, J Gu*, F Liu, P Torr
International Conference on Learning Representations (ICLR), 2024, 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Towards efficient adversarial training on vision transformers
B Wu*, J Gu*, Z Li, D Cai, X He, W Liu
European Conference on Computer Vision (ECCV), 307-325, 2022
Mandates: National Natural Science Foundation of China
Self-discovering interpretable diffusion latent directions for responsible text-to-image generation
H Li, C Shen, P Torr, V Tresp, J Gu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12006-12016, 2024
Mandates: UK Engineering and Physical Sciences Research Council, Federal Ministry of …
Watermark vaccine: Adversarial attacks to prevent watermark removal
X Liu, J Liu, Y Bai, J Gu, T Chen, X Jia, X Cao
European Conference on Computer Vision (ECCV), 1-17, 2022
Mandates: National Natural Science Foundation of China
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images
Z Wang, Z Han, S Chen, F Xue, Z Ding, X Xiao, V Tresp, P Torr, J Gu
Conference On Language Modeling (COLM), 2024
Mandates: Federal Ministry of Education and Research, Germany
Latent guard: a safety framework for text-to-image generation
R Liu, A Khakzar, J Gu, Q Chen, P Torr, F Pizzati
European Conference on Computer Vision (ECCV), 93-109, 2025
Mandates: UK Research & Innovation
Does few-shot learning suffer from backdoor attacks?
X Liu, X Jia, J Gu, Y Xun, S Liang, X Cao
Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19893 …, 2024
Mandates: National Natural Science Foundation of China
Hide in thicket: Generating imperceptible and rational adversarial perturbations on 3d point clouds
T Lou, X Jia, J Gu, L Liu, S Liang, B He, X Cao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 24326-24335, 2024
Mandates: National Natural Science Foundation of China
Benchmarking robustness of adaptation methods on pre-trained vision-language models
S Chen*, J Gu*, Z Han, Y Ma, P Torr, V Tresp
Advances in Neural Information Processing Systems (NeurIPS), 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Responsible Generative AI: What to Generate and What Not
J Gu
arXiv preprint arXiv:2404.05783, 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
X Jia, Y Chen, X Mao, R Duan, J Gu, R Zhang, H Xue, X Cao
IEEE Transactions on Information Forensics and Security (TIFS), 2023
Mandates: National Natural Science Foundation of China, National Research Foundation …
Multi-event Video-Text Retrieval
G Zhang, J Ren, J Gu, V Tresp
International Conference on Computer Vision (ICCV), 2023, 22113-22123, 2023
Mandates: Federal Ministry of Education and Research, Germany
Fast propagation is better: Accelerating single-step adversarial training via sampling subnetworks
X Jia, J Li, J Gu, Y Bai, X Cao
IEEE Transactions on Information Forensics and Security, 2024
Mandates: National Natural Science Foundation of China
Quantifying predictive uncertainty in medical image analysis with deep kernel learning
Z Wu, Y Yang, J Gu, V Tresp
2021 IEEE 9th international conference on healthcare informatics (ICHI), 63-72, 2021
Mandates: Federal Ministry of Education and Research, Germany
Improving adversarial transferability via model alignment
A Ma, A Farahmand, Y Pan, P Torr, J Gu
European Conference on Computer Vision (ECCV), 74-92, 2025
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Which model generated this image? a model-agnostic approach for origin attribution
F Liu, H Luo, Y Li, P Torr, J Gu
European Conference on Computer Vision (ECCV), 282-301, 2025
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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