Yihua Zhang

1. SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
   2023/10/19 by Chongyu Fan, Fan, Chongyu, Jiancheng Liu +9 · 68 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
   2023/10/18 by Yimeng Zhang, Jinghan Jia, Zhang, Yimeng +13 · 39 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
3. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
   2024/04/28 by Jinghan Jia, Jia, Jinghan, Yihua Zhang +13 · 20 citations
   Engineering · Computer Science · #Mineral Processing and Grinding #Distributed and Parallel Computing Systems #Reservoir Engineering and Simulation Methods
4. UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
   2024/02/19 by Yihua Zhang, Zhang, Yihua, Yimeng Zhang +15 · 15 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
5. A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
   2023/03/29 by Haomin Zhuang, Yihua Zhang, Zhuang, Haomin +3 · 9 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Digital Media Forensic Detection
6. An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
   2023/08/01 by Yihua Zhang, Prashant Khanduri, Zhang, Yihua +9 · 10 citations
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
7. DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
   2023/10/03 by Aochuan Chen, Yimeng Zhang, Chen, Aochuan +17 · 10 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
8. Advancing Model Pruning via Bi-level Optimization
   2022/10/08 by Yihua Zhang, Zhang, Yihua, Yuguang Yao +13 · 8 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
9. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
   2025/02/07 by Chongyu Fan, Fan, Chongyu, Jinghan Jia +8 · 17 citations
   Computer Science · #Cloud Data Security Solutions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Privacy-Preserving Technologies in Data
10. Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    2022/11/21 by Aochuan Chen, Chen, Aochuan, Yuguang Yao +7 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
11. When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
    2025/04/15 by Hongkang Li, Li, Hongkang, Yihua Zhang +9 · 10 citations
    Computer Science · Physics and Astronomy · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Model Reduction and Neural Networks
12. Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
    2023/12/03 by Can Jin, Jin, Can, Tianjin Huang +11 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
13. Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
    2025/03/14 by Yi‐Wei Chen, Chen, Yiwei, Yuguang Yao +9 · 4 citations
    Decision Sciences · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Measurement and Uncertainty Evaluation
14. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
    2025/06/02 by Changsheng Wang, Yihua Zhang, Wang, Changsheng +13 · 3 citations
    Engineering · #Advanced Surface Polishing Techniques #Advancements in Photolithography Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
    2024/11/27 by Haomin Zhuang, Zhuang, Haomin, Yihua Zhang +10 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies