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Zhibo Jin
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2020 – today
- 2024
- [j1]Haochen Qi
, Xiangwei Kong
A Vision-Transformer-Based Convex Variational Network for Bridge Pavement Defect Segmentation. IEEE Trans. Intell. Transp. Syst. 25(10): 13820-13832 (2024) - [c12]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo:
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. AAAI 2024: 17228-17236 - [c11]Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen:
Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack. CIKM 2024: 2410-2419 - [c10]Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen:
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation. ICLR 2024 - [c9]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim:
AttEXplore: Attribution for Explanation with model parameters eXploration. ICLR 2024 - [c8]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024 - [c7]Zhiyu Zhu
Enhancing Model Interpretability with Local Attribution over Global Exploration. ACM Multimedia 2024: 5347-5355 - [c6]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. SDM 2024: 706-714 - [i9]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan:
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. CoRR abs/2401.06031 (2024) - [i8]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen:
Benchmarking Transferable Adversarial Attacks. CoRR abs/2402.00418 (2024) - [i7]Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen:
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks. CoRR abs/2406.07580 (2024) - [i6]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen:
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack. CoRR abs/2408.07733 (2024) - [i5]Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen:
Enhancing Model Interpretability with Local Attribution over Global Exploration. CoRR abs/2408.07736 (2024) - [i4]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen:
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. CoRR abs/2408.12670 (2024) - [i3]Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Yuchen Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen:
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing. CoRR abs/2408.12673 (2024) - 2023
- [c5]Zhibo Jin
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. ADMA (2) 2023: 456-470 - [c4]Zhibo Jin
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. AsiaCCS 2023: 1031-1033 - [c3]Zhiyu Zhu
Improving Adversarial Transferability via Frequency-based Stationary Point Search. CIKM 2023: 3626-3635 - [c2]Zhiyu Zhu
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM 2023: 3657-3666 - [c1]Zhiyu Zhu
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning. ECML/PKDD (1) 2023: 147-163 - [i2]Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards transferable attacks with double adversarial neuron attribution. CoRR abs/2310.10427 (2023) - [i1]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo:
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks. CoRR abs/2312.13630 (2023)
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