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Pintor, Maura

  1. Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
    2021/02/25 by Pintor, Maura, Roli, Fabio, Brendel, Wieland +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
    2021/06/18 by Maura Pintor, Pintor, Maura, Luca Demetrio +11 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Testing and Debugging Techniques
  3. Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
    2021/08/26 by Zheng, Yang, Feng, Xiaoyi, Xia, Zhaoqiang +5 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Robust Machine Learning for Malware Detection over Time
    2022/08/09 by Angioni, Daniele, Demetrio, Luca, Pintor, Maura +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  5. Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
    2024/09/02 by Piras, Giorgio, Pintor, Maura, Demontis, Ambra +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
    2023/07/01 by Dario Lazzaro, Lazzaro, Dario, Antonio Emanuele Ciná +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications