Muñoz-González, Luis

1. Towards Poisoning of Deep Learning Algorithms with Back-gradient\n Optimization
   2017/08/29 by Luis Muñoz-González, Battista Biggio, Muñoz-González, Luis +11 · 15 citations
   Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
   2018/02/08 by Andrea Paudice, Paudice, Andrea, Luis Muñoz-González +5 · 15 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection
3. Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
   2019/09/11 by Luis Muñoz-González, Kenneth T. Co, Muñoz-González, Luis +3 · 9 citations
   Computer Science · #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
4. Label Sanitization against Label Flipping Poisoning Attacks
   2018/03/02 by Paudice, Andrea, Muñoz-González, Luis, Lupu, Emil C. · 5 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Exact Inference Techniques for the Analysis of Bayesian Attack Graphs
   2015/10/08 by Muñoz-González, Luis, Sgandurra, Daniele, Barrère, Martín +1 · 2 citations
   #62F15 #Applications (stat.AP) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (stat.ML)
6. Efficient Attack Graph Analysis through Approximate Inference
   2016/06/22 by Muñoz-González, Luis, Sgandurra, Daniele, Paudice, Andrea +1 · 2 citations
   #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (stat.ML)
7. Poisoning Attacks with Generative Adversarial Nets
   2019/06/18 by Luis Muñoz-González, Muñoz-González, Luis, Bjarne Pfitzner +7 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Realizable Universal Adversarial Perturbations for Malware
   2021/02/12 by Raphael Labaca-Castro, Luis Muñoz-González, Labaca-Castro, Raphael +9 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
9. Real-time Detection of Practical Universal Adversarial Perturbations
   2021/05/16 by Kenneth T. Co, Co, Kenneth T., Luis Muñoz-González +5 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG)
10. Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
    2023/06/02 by Javier Carnerero-Cano, Luis Muñoz-González, Carnerero-Cano, Javier +5 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare