Truex, Stacey

1. Data Poisoning Attacks Against Federated Learning Systems
   2020/07/16 by Vale Tolpegin, Stacey Truex, Tolpegin, Vale +5 · 25 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
2. LDP-Fed: Federated Learning with Local Differential Privacy
   2020/06/05 by Truex, Stacey, Liu, Ling, Chow, Ka-Ho +2 · 18 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. A Hybrid Approach to Privacy-Preserving Federated Learning
   2018/12/07 by Stacey Truex, Nathalie Baracaldo, Truex, Stacey +11 · 13 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
4. TiFL: A Tier-based Federated Learning System
   2020/01/25 by Chai, Zheng, Ali, Ahsan, Zawad, Syed +7 · 13 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Performance (cs.PF)
5. Towards Demystifying Membership Inference Attacks
   2018/06/28 by Stacey Truex, Truex, Stacey, Ling Liu +7 · 10 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Network Security and Intrusion Detection
6. Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
   2019/08/29 by Liu, Ling, Wei, Wenqi, Chow, Ka-Ho +4 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
   2020/04/22 by Wenqi Wei, Wei, Wenqi, Ling Liu +11 · 3 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
8. Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy
   2019/05/15 by Mehmet Emre Gürsoy, Acar Tamersoy, Gursoy, Mehmet Emre +7 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Privacy-Preserving Technologies in Data
9. Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
   2019/11/21 by Truex, Stacey, Liu, Ling, Gursoy, Mehmet Emre +2 · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Understanding Object Detection Through An Adversarial Lens
    2020/07/11 by Chow, Ka-Ho, Liu, Ling, Gursoy, Mehmet Emre +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
    2019/10/01 by Wei, Wenqi, Liu, Ling, Loper, Margaret +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)