Sarah Monazam Erfani

38 papers A* 9A 1B 3Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bayesian framework for robust local intrinsic dimensionality estimation.
Inf. Syst.
Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2026 J jnl
Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning.
CoRR
Xueqi Ma, Shuo Yang, Yanbei Jiang, Shu Liu, Zhenzhen Liu, Jiayang Ao, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2026 A* conf
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.
AAAI
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2026 J jnl
Semantic-aware Adversarial Fine-tuning for CLIP.
Trans. Mach. Learn. Res.
Jiacheng Zhang, Jinhao Li, Hanxun Huang, Sarah Monazam Erfani, Benjamin I. P. Rubinstein, Feng Liu
2025 J jnl
CURVALID: Geometrically-guided Adversarial Prompt Detection.
CoRR
Canaan Yung, Hanxun Huang, Sarah Monazam Erfani, Christopher Leckie
2025 J jnl
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.
CoRR
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2025 J jnl
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning.
CoRR
Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Monazam Erfani, Tongliang Liu, James Bailey
2025 A* conf
Detecting Backdoor Samples in Contrastive Language Image Pretraining.
ICLR
Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey
2025 J jnl
Exploring Weak-to-Strong Generalization for CLIP-based Classification.
Trans. Mach. Learn. Res.
Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu
2025 J jnl
Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning Modules.
CoRR
Yanbei Jiang, Xueqi Ma, Shu Liu, Sarah Monazam Erfani, Tongliang Liu, James Bailey, Jey Han Lau, Krista A. Ehinger
2025 A* conf
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning.
ICLR
Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
2025 — conf
Position: Certified Robustness Does Not (Yet) Imply Model Security.
ICML (Position Papers)
Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
2025 — conf
S-CPD: Topological Smoothing-Based Change Point Detection.
PAKDD (6)
Harindu Sugathadasa, Sarah Monazam Erfani, Christopher Leckie
2025 A* conf
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP.
ICML
Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey
2024 B conf
Bayesian Estimation Approaches for Local Intrinsic Dimensionality.
SISAP
Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2024 J jnl
Efficient Neural Implicit Representation for 3D Human Reconstruction.
CoRR
Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
2024 J jnl
Efficient neural implicit representation for 3D human reconstruction.
Pattern Recognit.
Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
2024 J jnl
End-to-End Anti-Backdoor Learning on Images and Time Series.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey
2024 A* conf
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples.
ICML
Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
2024 A* conf
LDReg: Local Dimensionality Regularized Self-Supervised Learning.
ICLR
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024 J jnl
LDReg: Local Dimensionality Regularized Self-Supervised Learning.
CoRR
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024 J jnl
Unlearnable Examples For Time Series.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2024 — conf
Unlearnable Examples for Time Series.
PAKDD (6)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2024 A* conf
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.
ICML
Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu
2023 — conf
Backdoor Attacks on Time Series: A Generative Approach.
SaTML
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2023 A* conf
Distilling Cognitive Backdoor Patterns within an Image.
ICLR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2022 J jnl
Backdoor Attacks on Time Series: A Generative Approach.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2021 B conf
Dual Head Adversarial Training.
IJCNN
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2021 J jnl
Dual Head Adversarial Training.
CoRR
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2021 J jnl
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.
CoRR
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
2021 A* conf
Unlearnable Examples: Making Personal Data Unexploitable.
ICLR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
2021 J jnl
Unlearnable Examples: Making Personal Data Unexploitable.
CoRR
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
2019 J jnl
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs.
CoRR
Sukarna Barua, Sarah Monazam Erfani, James Bailey
2019 B conf
MMF: Attribute Interpretable Collaborative Filtering.
IJCNN
Yixin Su, Sarah Monazam Erfani, Rui Zhang
2019 J jnl
MMF: Attribute Interpretable Collaborative Filtering.
CoRR
Yixin Su, Sarah Monazam Erfani, Rui Zhang
2019 J jnl
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality.
CoRR
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
2018 A conf
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
UAI
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
2018 J jnl
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
CoRR
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha