Nathalie Baracaldo

1. Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
   2018/11/08 by Bryant Chen, Chen, Bryant, Wilka Carvalho +13 · 33 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Malware Detection Techniques
2. TiFL: A Tier-based Federated Learning System
   2020/01/25 by Zheng Chai, Ahsan Ali, Chai, Zheng +17 · 17 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Performance (cs.PF) #Privacy-Preserving Technologies in Data
3. A Hybrid Approach to Privacy-Preserving Federated Learning
   2018/12/07 by Stacey Truex, Nathalie Baracaldo, Truex, Stacey +11 · 15 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. Federated Unlearning: How to Efficiently Erase a Client in FL?
   2022/07/12 by Anisa Halimi, Swanand Kadhe, Halimi, Anisa +5 · 12 citations
   Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Traffic Prediction and Management Techniques #Advanced Neural Network Applications
5. Privacy-Preserving Machine Learning: Methods, Challenges and Directions
   2021/08/10 by Runhua Xu, Xu, Runhua, Nathalie Baracaldo +3 · 10 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
6. FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
   2021/03/05 by Runhua Xu, Xu, Runhua, Nathalie Baracaldo +9 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Data Security #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
7. Mitigating Bias in Federated Learning
   2020/12/04 by Annie Abay, Abay, Annie, Yi Zhou +9 · 5 citations
   Computer Science · Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
8. DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
   2022/07/15 by Runhua Xu, Nathalie Baracaldo, Xu, Runhua +9 · 3 citations
   Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
9. IBM Federated Learning: an Enterprise Framework White Paper V0.1
   2020/07/22 by Heiko Ludwig, Nathalie Baracaldo, Ludwig, Heiko +45 · 2 citations
   Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #I.2.11 #I.2.6 #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
10. Understanding Forgetting in LLM Supervised Fine-Tuning and Preference Learning -- A Convex Optimization Perspective
    2024/10/20 by Heshan Fernando, Fernando, Heshan, Han Shen +11 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Mathematics #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Optimization and Control (math.OC)
11. Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
    2024/07/17 by Shuli Jiang, Jiang, Shuli, Swanand Kadhe +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Information and Cyber Security
12. MAP: Multi-Human-Value Alignment Palette
    2024/10/24 by Xinran Wang, Wang, Xinran, Qi Le +13 · 4 citations
    Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Persona Design and Applications
13. Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
    2022/02/25 by Nathalie Baracaldo, Baracaldo, Nathalie, Ali Anwar +19 · 2 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Cryptography and Data Security
14. Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
    2021/02/01 by Syed Zawad, Ahsan Ali, Zawad, Syed +13 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
15. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
    2025/06/15 by Changsheng Wang, Wang, Changsheng, Chongyu Fan +13 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG)
16. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
    2025/06/02 by Changsheng Wang, Wang, Changsheng, Yihua Zhang +13 · 4 citations
    Engineering · #Advanced Surface Polishing Techniques #Advancements in Photolithography Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)