Jiayu Zhang

According to our database, Jiayu Zhang authored at least 22 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability.

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Fang Chen, Jianlong Zhou

CoRR, May, 2025

Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution.

Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo

IEEE Trans. Artif. Intell., February, 2025

Improving Adversarial Transferability via Decision Boundary Adaptation.

Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN.

Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability.

Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Attribution for Enhanced Explanation with Transferable Adversarial eXploration.

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Huaming Chen, Jianlong Zhou, Fang Chen

CoRR, 2024

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing.

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Yuchen Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen

CoRR, 2024

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack.

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Chenyu Zhang, Jiahao Huang, Jianlong Zhou, Fang Chen

CoRR, 2024

DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks.

Zhiyu Zhu, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Huaming Chen

CoRR, 2024

Benchmarking Transferable Adversarial Attacks.

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen

CoRR, 2024

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.

Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Enhancing Model Interpretability with Local Attribution over Global Exploration.

Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Huaming Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Iterative Search Attribution for Deep Neural Networks.

Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AttEXplore: Attribution for Explanation with model parameters eXploration.

Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation.

Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack.

Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.

Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Improving Adversarial Transferability via Frequency-based Stationary Point Search.

Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.

Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution.

Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023