基本信息
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Bio
Battista Biggio’s research over the past 15 years has addressed theoretical and methodological issues in the area of machine learning and pattern recognition, in the context of real-world applications, including spam filtering, intrusion and malware detection, and biometric recognition. He has provided pioneering contributions in the area of adversarial machine learning, demonstrating gradient-based evasion and poisoning attacks on machine-learning algorithms, and how to mitigate them, playing a leading role in the establishment and advancement of this research field.
Research Interests
Papers共 179 篇Author StatisticsCo-AuthorSimilar Experts
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Raffaele Mura, Giuseppe Floris, Luca Scionis,Giorgio Piras,Maura Pintor,Ambra Demontis,Giorgio Giacinto,Battista Biggio,Fabio Roli
arxiv(2024)
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Zhang Chen,Luca Demetrio, Srishti Gupta,Xiaoyi Feng,Zhaoqiang Xia,Antonio Emanuele Cinà,Maura Pintor,Luca Oneto,Ambra Demontis,Battista Biggio,Fabio Roli
arxiv(2024)
CoRR (2024)
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CoRR (2024)
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Christian Scano, Giuseppe Floris,Biagio Montaruli,Luca Demetrio,Andrea Valenza,Luca Compagna,Davide Ariu,Luca Piras,Davide Balzarotti,Battista Biggio
arxiv(2024)
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Antonio Emanuele Cinà, Francesco Villani,Maura Pintor,Lea Schönherr,Battista Biggio,Marcello Pelillo
CoRR (2024)
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COMPUTERno. 3 (2024): 26-34
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMSno. 99 (2024): 1-12
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