World's Best Scientists 2026 revealed!
Battista Biggio

Battista Biggio

D-Index & Metrics

Computer Science

D-Index
47
Citations
13902
World Ranking
6334
National Ranking
144

Battista Biggio publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Battista Biggio sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Battista Biggio D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Battista Biggio sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Battista Biggio is affiliated with the University of Cagliari in Italy and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and security-related topics. Their research outputs span over 218 publications in computer science with notable emphasis on several subfields.

The main subfields of study in their body of work include:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Information Systems

The primary topics addressed in Biggio's research encompass:

  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Advanced Neural Network Applications
  • Security and Verification in Computing
  • Explainable Artificial Intelligence (XAI)

Their publication venues frequently include:

  • arXiv (Cornell University)
  • Computers & Security
  • Information Sciences
  • SSRN Electronic Journal
  • Pattern Recognition

Biggio has coauthored multiple papers with several collaborators, the most frequent of whom are:

  • Fabio Roli
  • Ambra Demontis
  • Luca Demetrio
  • Maura Pintor
  • Antonio Emanuele Cinà

Among recent publications are the following:

  • "Adversarial EXEmples" (2021), published in ACM Transactions on Privacy and Security
  • "Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning" (2023), published in ACM Computing Surveys
  • "The Threat of Offensive AI to Organizations" (2022), published in Computers & Security
  • "ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches" (2022), published in Pattern Recognition
  • "Machine Learning Security in Industry: A Quantitative Survey" (2023), published in IEEE Transactions on Information Forensics and Security

In addition to articles, Biggio has contributed to book literature, publishing with Springer Science+Business Media. One book associated with their name is:

  • "Structural, Syntactic, and Statistical Pattern Recognition" (2021)

Best Publications

  • Evasion attacks against machine learning at test time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • Poisoning Attacks against Support Vector Machines

    Battista Biggio;Blaine Nelson;Pavel Laskov

  • Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

    Matthew Jagielski;Alina Oprea;Battista Biggio;Chang Liu

  • Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

    Battista Biggio;Fabio Roli

  • Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

    Luis Muñoz-González;Battista Biggio;Ambra Demontis;Andrea Paudice

  • Evasion Attacks against Machine Learning at Test Time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • Security Evaluation of PatternClassifiers under Attack

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Is Feature Selection Secure against Training Data Poisoning

    Huang Xiao;Battista Biggio;Gavin Brown;Giorgio Fumera

  • Security Evaluation of Pattern Classifiers under Attack

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Support Vector Machines Under Adversarial Label Noise

    Battista Biggio;Blaine Nelson;Pavel Laskov

  • Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

    Bojan Kolosnjaji;Ambra Demontis;Battista Biggio;Davide Maiorca

  • Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

    Ambra Demontis;Marco Melis;Battista Biggio;Davide Maiorca

  • Adversarial Feature Selection Against Evasion Attacks

    Fei Zhang;Patrick P. K. Chan;Battista Biggio;Daniel S. Yeung

  • Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware

    Luca Demetrio;Battista Biggio;Giovanni Lagorio;Fabio Roli

  • Support vector machines under adversarial label contamination

    Huang Xiao;Battista Biggio;Blaine Nelson;Han Xiao

  • Multiple classifier systems for robust classifier design in adversarial environments

    Battista Biggio;Giorgio Fumera;Fabio Roli

  • Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

    Ambra Demontis;Marco Melis;Maura Pintor;Matthew Jagielski

  • Wild patterns: Ten years after the rise of adversarial machine learning half-day tutorial

    B. Biggio;F. Roli

  • Security evaluation of biometric authentication systems under real spoofing attacks

    Battista Biggio;Zahid Akhtar;Giorgio Fumera;Gian Luca Marcialis

  • Is data clustering in adversarial settings secure

    Battista Biggio;Ignazio Pillai;Samuel Rota Bulò;Davide Ariu

  • Poisoning behavioral malware clustering

    Battista Biggio;Konrad Rieck;Davide Ariu;Christian Wressnegger

  • Who are you? A statistical approach to measuring user authenticity

    S Jain;M Mandell Freeman;Battista Biggio;M Duermuth

Frequent Co-Authors

Fabio Roli
Fabio Roli University of Genoa
Giorgio Fumera
Giorgio Fumera University of Cagliari
Giorgio Giacinto
Giorgio Giacinto University of Cagliari
Gian Luca Marcialis
Gian Luca Marcialis University of Cagliari
Pavel Laskov
Pavel Laskov University of Liechtenstein
Cristina Nita-Rotaru
Cristina Nita-Rotaru Northeastern University
Alina Oprea
Alina Oprea Northeastern University
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Claudia Eckert
Claudia Eckert The Open University
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)

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