Jindong Gu
Ludwig-Maximilians-Universität München
H-index: 14
Europe-Germany
Top articles of Jindong Gu
Latent Guard: a Safety Framework for Text-to-image Generation
arXiv preprint arXiv:2404.08031
2024/4/11
Responsible Generative AI: What to Generate and What Not
arXiv preprint arXiv:2404.05783
2024/4/8
Jindong Gu
H-Index: 4
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
arXiv preprint arXiv:2404.03411
2024/4/4
Model-agnostic Origin Attribution of Generated Images with Few-shot Examples
arXiv preprint arXiv:2404.02697
2024/4/3
Discretization-induced Dirichlet posterior for robust uncertainty quantification on regression
Proceedings of the AAAI Conference on Artificial Intelligence
2024/3/24
Jindong Gu
H-Index: 4
Does Few-Shot Learning Suffer from Backdoor Attacks?
Proceedings of the AAAI Conference on Artificial Intelligence
2024/3/24
Xinwei Liu
H-Index: 3
Jindong Gu
H-Index: 4
Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning
Proceedings of the AAAI Conference on Artificial Intelligence
2024/3/24
Minimalism is King! High-Frequency Energy-based Screening for Data-Efficient Backdoor Attacks
IEEE Transactions on Information Forensics and Security
2024/3/22
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
arXiv preprint arXiv:2403.12693
2024/3/19
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2024/3/8
Jindong Gu
H-Index: 4
Li Liu
H-Index: 4
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images
arXiv preprint arXiv:2402.14899
2024/2/22
Benchmarking robustness of adaptation methods on pre-trained vision-language models
Advances in Neural Information Processing Systems
2024/2/13
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
arXiv preprint arXiv:2401.11170
2024/1/20
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Transactions on Machine Learning Research (TMLR)
2023/10/26
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
2023/10/13
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
arXiv preprint arXiv:2309.06438
2023/9/12
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
arXiv preprint arXiv:2309.08375
2023/9
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
arXiv preprint arXiv:2308.11443
2023/8/22
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
arXiv preprint arXiv:2307.12980
2023/7/24
Reliable Evaluation of Adversarial Transferability
arXiv preprint arXiv:2306.08565
2023/6/14
Jindong Gu
H-Index: 4
Philip Torr
H-Index: 69
Co-Authors
