Qiuling Xu

1. Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense
   2022/02/11 by Guangyu Shen, Yingqi Liu, Shen, Guangyu +13 · 10 citations
   Computer Science · Medicine · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiple Myeloma Research and Treatments
2. Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
   2021/02/09 by Guangyu Shen, Shen, Guangyu, Yingqi Liu +13 · 6 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
   2022/10/23 by Kaiyuan Zhang, Zhang, Kaiyuan, Guanhong Tao +19 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
4. BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
   2023/01/16 by Siyuan Cheng, Cheng, Siyuan, Guanhong Tao +19 · 4 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
   2023/11/27 by Shengwei An, Sheng-Yen Chou, An, Shengwei +19 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
6. Exponential Reward Weighting for Fine-Tuning Generative Recommenders under Sparse and Noisy Feedback
   2026/08/01 by Keertana Chidambaram, Sanath Kumar Krishnamurthy, Qiuling Xu +2
   Computer Science · #cs.IR