Yanzhao Wu

1. Security and Privacy Challenges of Large Language Models: A Survey
   2024/01/30 by Badhan Chandra Das, M. Hadi Amini, Das, Badhan Chandra +3 · 48 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
2. Security and Privacy Challenges of Large Language Models: A Survey
   2025/01/13 by Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu · 1 voice · 20 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Topic Modeling #Adversarial Robustness in Machine Learning
3. A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
   2020/04/22 by Wenqi Wei, Ling Liu, Wei, Wenqi +11 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
4. Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
   2019/08/18 by Yanzhao Wu, Ling Liu, Wu, Yanzhao +15 · 2 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. Securing Distributed SGD against Gradient Leakage Threats
   2023/05/10 by Wenqi Wei, Wei, Wenqi, Ling Liu +7 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
6. Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
   2019/08/21 by Ka-Ho Chow, Wenqi Wei, Chow, Ka-Ho +5 · 2 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Rethinking Learning Rate Tuning in the Era of Large Language Models
   2023/09/16 by Hongpeng Jin, Jin, Hongpeng, Wenqi Wei +7 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
8. Gradient-Leakage Resilient Federated Learning
   2021/07/02 by Wenqi Wei, Wei, Wenqi, Ling Liu +7 · 1 citation
   Computer Science · Medicine · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Patient Dignity and Privacy #Privacy-Preserving Technologies in Data
9. Adaptive Deep Neural Network Inference Optimization with EENet
   2023/01/15 by Fatih İlhan, Ilhan, Fatih, Ka-Ho Chow +18 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
10. Securing Distributed SGD Against Gradient Leakage Threats
    2023/07/01 by Wenqi Wei, Ling Liu, Jingya Zhou +2 · 1 citation
11. On the Efficiency of Privacy Attacks in Federated Learning
    2024/04/15 by Nawrin Tabassum, Tabassum, Nawrin, Ka-Ho Chow +7 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
12. Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness
    2023/10/03 by Yanzhao Wu, Ka-Ho Chow, Wu, Yanzhao +5 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
13. Boosting Deep Ensembles with Learning Rate Tuning
    2024/10/10 by Hongpeng Jin, Yanzhao Wu, Jin, Hongpeng +1 · 1 citation
    Computer Science · #Neural Networks and Applications