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Xinyi Wang 0005
Person information
- affiliation: University of Malaya, Malaysia
- affiliation: Jiangsu University, Zhenjiang, China
Other persons with the same name
- Xinyi Wang — disambiguation page
- Xinyi Wang 0001 (aka: Xinyi (Cindy) Wang) — Google DeepMind, New York, NY, USA (and 1 more)
- Xinyi Wang 0002 — Beijing Institute of Technology, School of Information and Electronics, Research Institute of Communication Technology, Beijing, China
- Xinyi Wang 0003 — University of California, Department of Computer Science, Santa Barbara, CA, USA
- Xinyi Wang 0004 — University of Oslo, Simula Research Laboratory, Oslo, Norway (and 1 more)
- Xinyi Wang 0006 — Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA
- Xinyi Wang 0007 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- Xinyi Wang 0008 — Chongqing University, School of Big Data and Software Engineering, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China
- Xinyi Wang 0009 — University of Tasmania, School of Technology, Environments and Design, College of Sciences and Engineering, Hobart, Australia (and 1 more)
- Xinyi Wang 0010 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
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2020 – today
- 2024
- [c9]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 - [c8]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 - [c7]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 - [c6]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024 - [c5]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. SDM 2024: 706-714 - [i4]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) - [i3]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) - 2023
- [c4]Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. ADMA (2) 2023: 456-470 - [c3]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
Improving Adversarial Transferability via Frequency-based Stationary Point Search. CIKM 2023: 3626-3635 - [c2]Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM 2023: 3657-3666 - [c1]Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen:
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)
Coauthor Index
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last updated on 2024-11-14 00:53 CET by the dblp team
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