Sarah Monazam Erfani

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Intrinsic Dimensionality

Repeated Patterns

Top Venues

Publications

Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
LDReg: Local Dimensionality Regularized Self-Supervised Learning. ICLR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Unlearnable Examples for Time Series. PAKDD (6) (2024)
Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
Efficient neural implicit representation for 3D human reconstruction. Pattern Recognit. 156 (2024)
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Unlearnable Examples For Time Series. CoRR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey
End-to-End Anti-Backdoor Learning on Images and Time Series. CoRR (2024)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. ICLR (2023)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Backdoor Attacks on Time Series: A Generative Approach. SaTML (2023)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Backdoor Attacks on Time Series: A Generative Approach. CoRR (2022)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. ICLR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. CoRR (2021)
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. CoRR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. IJCNN (2021)
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR (2019)
Yixin Su, Sarah Monazam Erfani, Rui Zhang
MMF: Attribute Interpretable Collaborative Filtering. CoRR (2019)
Yixin Su, Sarah Monazam Erfani, Rui Zhang
MMF: Attribute Interpretable Collaborative Filtering. IJCNN (2019)
Sukarna Barua, Sarah Monazam Erfani, James Bailey
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. CoRR (2019)
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR (2018)
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI (2018)