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Yang Zhang
Yang Zhang
Bestätigte E-Mail-Adresse bei comp.nus.edu.sg
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Zitiert von
Zitiert von
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Fine-grained neural network explanation by identifying input features with predictive information
Y Zhang, A Khakzar, Y Li, A Farshad, ST Kim, N Navab
Advances in Neural Information Processing Systems 34, 20040-20051, 2021
262021
Explaining covid-19 and thoracic pathology model predictions by identifying informative input features
A Khakzar, Y Zhang, W Mansour, Y Cai, Y Li, Y Zhang, ST Kim, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
162021
The stronger the diffusion model, the easier the backdoor: Data poisoning to induce copyright breaches without adjusting finetuning pipeline
H Wang, Q Shen, Y Tong, Y Zhang, K Kawaguchi
arXiv preprint arXiv:2401.04136, 2024
32024
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Y Zhang, Y Li, H Brown, M Rezaei, B Bischl, P Torr, A Khakzar, ...
arXiv preprint arXiv:2310.06514, 2023
12023
Investigating Copyright Issues of Diffusion Models under Practical Scenarios
Y Zhang, TT Tzun, LW Hern, H Wang, K Kawaguchi
arXiv preprint arXiv:2311.12803, 2023
12023
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models
A Khakzar, Y Li, Y Zhang, M Sanisoglu, ST Kim, M Rezaei, B Bischl, ...
ICML 2022 Workshop on Interpretable Machine Learning in Healthcare, 2022
12022
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
Y Zhang, TT Tzun, LW Hern, T Sim, K Kawaguchi
arXiv preprint arXiv:2403.06381, 2024
2024
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Y Li, Y Zhang, K Kawaguchi, A Khakzar, B Bischl, M Rezaei
arXiv preprint arXiv:2308.08949, 2023
2023
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