Sarah Erfani
- Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
2018/01/08 by Xingjun Ma, Ma, Xingjun, Bo Li +15 · 18 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Physical Unclonable Functions (PUFs) and Hardware Security
- Normalized Loss Functions for Deep Learning with Noisy Labels
2020/06/24 by Xingjun Ma, Hanxun Huang, Ma, Xingjun +9 · 19 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Music and Audio Processing
- Unlearnable Examples: Making Personal Data Unexploitable
2021/01/13 by Hanxun Huang, Huang, Hanxun, Xingjun Ma +7 · 14 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
2024/06/05 by Jinhao Li, Li, Jinhao, Haopeng Li +9 · 13 citations
Computer Science · #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Dimensionality-Driven Learning with Noisy Labels
2018/06/07 by Xingjun Ma, Yisen Wang, Ma, Xingjun +13 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
2025/02/02 by Xingjun Ma, Yifeng Gao, Ma, Xingjun +88 · 20 citations
Health Professions · Decision Sciences · Engineering · #Occupational Health and Safety Research #Risk and Safety Analysis #Safety Systems Engineering in Autonomy
- Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
2021/10/07 by Hanxun Huang, Huang, Hanxun, Yisen Wang +9 · 4 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm
2022/06/16 by Fanzhe Qu, Qu, Fanzhe, Sarah Erfani +3 · 2 citations
Computer Science · #Cloud Computing and Resource Management #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
- Reinforcement Learning for Autonomous Defence in Software-Defined\n Networking
2018/08/17 by Yi Han, Benjamin I. P. Rubinstein, Han, Yi +15 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
- LDReg: Local Dimensionality Regularized Self-Supervised Learning
2024/01/19 by Hanxun Huang, Huang, Hanxun, Ricardo J. G. B. Campello +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
- X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
2025/05/08 by Hanxun Huang, Sarah Erfani, Huang, Hanxun +7 · 5 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
- OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
2024/02/07 by Chen Wang, Wang, Chen, Sarah Erfani +5 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- Unlearnable Examples For Time Series
2024/02/03 by Yujing Jiang, Jiang, Yujing, Xingjun Ma +5 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
- COLLIDER: A Robust Training Framework for Backdoor Data
2022/10/13 by Hadi M. Dolatabadi, Sarah Erfani, Dolatabadi, Hadi M. +3 · 1 citation
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI
- GeoDetect: Geometric Adversarial Detection for VLPs
2026/07/16 by Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +2
#cs.CV #cs.LG