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Zhiyu Zhu
Zhiyu Zhu
Verified email at uni.sydney.edu.au
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Year
DANAA: Towards transferable attacks with double adversarial neuron attribution
Z Jin, Z Zhu, X Wang, J Zhang, J Shen, H Chen
International Conference on Advanced Data Mining and Applications, 456-470, 2023
52023
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
Z Zhu, H Chen, X Wang, J Zhang, Z Jin, KKR Choo, J Shen, D Yuan
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
42024
Improving adversarial transferability via frequency-based stationary point search
Z Zhu, H Chen, J Zhang, X Wang, Z Jin, Q Lu, J Shen, KKR Choo
Proceedings of the 32nd ACM International Conference on Information and …, 2023
42023
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
Z Zhu, H Chen, J Zhang, X Wang, Z Jin, M Xue, D Zhu, KKR Choo
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17228 …, 2024
12024
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning
Z Zhu, H Chen, Z Jin, X Wang, J Zhang, M Xue, Q Lu, J Shen, KKR Choo
Proceedings of the 32nd ACM International Conference on Information and …, 2023
12023
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Z Zhu, J Zhang, X Wang, Z Jin, H Chen
arXiv preprint arXiv:2406.07580, 2024
2024
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution
Z Zhu, Z Jin, X Wang, J Zhang, H Chen, KKR Choo
IEEE Transactions on Artificial Intelligence, 2024
2024
Short: Benchmarking transferable adversarial attacks
Z Jin, J Zhang, Z Zhu, H Chen
arXiv preprint arXiv:2402.00418, 2024
2024
Benchmarking Transferable Adversarial Attacks.
Z Jin, J Zhang, Z Zhu, H Chen
CoRR, 2024
2024
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning
Z Zhu, J Zhang, Z Jin, X Wang, M Xue, J Shen, KKR Choo, H Chen
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models
Z Jin, Z Zhu, H Hu, M Xue, H Chen
Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023
2023
AttEXplore: Attribution for Explanation with model parameters eXploration
Z Zhu, H Chen, J Zhang, X Wang, Z Jin, J Xue, FD Salim
The Twelfth International Conference on Learning Representations, 0
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Z Zhu, X Wang, Z Jin, J Zhang, H Chen
The Twelfth International Conference on Learning Representations, 0
Iterative Search Attribution for Deep Neural Networks
Z Zhu, H Chen, X Wang, J Zhang, Z Jin, J Xue, J Shen
Forty-first International Conference on Machine Learning, 0
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