Do concept bottleneck models learn as intended? A *Margeloiu, M *Ashman, U *Bhatt, Y Chen, M Jamnik, A Weller ICLR 2021 - Responsible AI workshop, 2021 | 71 | 2021 |
A generalizable model-and-data driven approach for open-set RFF authentication R Xie*, W Xu*, Y Chen, J Yu, A Hu, DWK Ng, AL Swindlehurst IEEE Transactions on Information Forensics and Security 16, 4435-4450, 2021 | 60 | 2021 |
Neural approximate sufficient statistics for implicit models Y Chen, D Zhang, M Gutmann, A Courville, Z Zhu International Conference on Learning Representations (ICLR), 2021 | 58 | 2021 |
Deep secure quantization: On privacy-preserving biometric hashing against similarity-based attacks Y Chen, Y Wo, R Xie, C Wu, G Han Signal Processing 154, 314-323, 2019 | 52* | 2019 |
Adaptive gaussian copula ABC Y Chen, MU Gutmann The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 19 | 2019 |
Scalable Infomin Learning Y Chen, Y Li, A Weller Advances in Neural Information Processing Systems (NeurIPS) 35, 2226-2239, 2022 | 9 | 2022 |
On Breaking Deep Generative Model-based Defenses and Beyond Y Chen, R Xie, Z Zhu International Conference on Machine Learning (ICML), 2020 | 6 | 2020 |
Slice Summary Statistics for Efficient Likelihood-free Inference Y Chen, MU Gutmann, A Weller International Conference on Machine Learning (ICML), 2023 | 2* | 2023 |