Jindong Gu
Orcid: 0009-0000-0574-0129
According to our database1,
Jindong Gu
authored at least 76 papers
between 2018 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur., 2024
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks.
IEEE Trans. Inf. Forensics Secur., 2024
CoRR, 2024
CoRR, 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.
CoRR, 2024
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models.
CoRR, 2024
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.
CoRR, 2024
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples.
CoRR, 2024
CoRR, 2024
CoRR, 2024
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
CoRR, 2024
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models.
CoRR, 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds.
CoRR, 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR, 2024
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.
CoRR, 2024
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization.
CoRR, 2023
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation.
CoRR, 2023
CoRR, 2023
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CoRR, 2023
CoRR, 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
CoRR, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
2018
Proceedings of the Computer Vision - ACCV 2018, 2018