2026 Battista Biggio: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	47	6333	6150	144	142	176	13902

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

1646
Citations
Poisoning Attacks against Support Vector Machines

Battista Biggio;Blaine Nelson;Pavel Laskov

1180
Citations
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Matthew Jagielski;Alina Oprea;Battista Biggio;Chang Liu

879
Citations
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

Battista Biggio;Fabio Roli

861
Citations
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

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

624
Citations
Evasion Attacks against Machine Learning at Test Time

Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

490
Citations
Security Evaluation of PatternClassifiers under Attack

Battista Biggio;Giorgio Fumera;Fabio Roli

488
Citations
Is Feature Selection Secure against Training Data Poisoning

Huang Xiao;Battista Biggio;Gavin Brown;Giorgio Fumera

415
Citations
Security Evaluation of Pattern Classifiers under Attack

Battista Biggio;Giorgio Fumera;Fabio Roli

366
Citations
Support Vector Machines Under Adversarial Label Noise

Battista Biggio;Blaine Nelson;Pavel Laskov

365
Citations
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Bojan Kolosnjaji;Ambra Demontis;Battista Biggio;Davide Maiorca

322
Citations
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Ambra Demontis;Marco Melis;Battista Biggio;Davide Maiorca

289
Citations
Adversarial Feature Selection Against Evasion Attacks

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

263
Citations
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware

Luca Demetrio;Battista Biggio;Giovanni Lagorio;Fabio Roli

253
Citations
Support vector machines under adversarial label contamination

Huang Xiao;Battista Biggio;Blaine Nelson;Han Xiao

249
Citations
Multiple classifier systems for robust classifier design in adversarial environments

Battista Biggio;Giorgio Fumera;Fabio Roli

234
Citations
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Ambra Demontis;Marco Melis;Maura Pintor;Matthew Jagielski

216
Citations
Wild patterns: Ten years after the rise of adversarial machine learning half-day tutorial

B. Biggio;F. Roli

214
Citations
Security evaluation of biometric authentication systems under real spoofing attacks

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

176
Citations
Is data clustering in adversarial settings secure

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

149
Citations
Poisoning behavioral malware clustering

Battista Biggio;Konrad Rieck;Davide Ariu;Christian Wressnegger

141
Citations
Who are you? A statistical approach to measuring user authenticity

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

127
Citations

Frequent Co-Authors

Fabio Roli University of Genoa

Giorgio Fumera University of Cagliari

Giorgio Giacinto University of Cagliari

Gian Luca Marcialis University of Cagliari

Pavel Laskov University of Liechtenstein

Cristina Nita-Rotaru Northeastern University

Alina Oprea Northeastern University

Marcello Pelillo Ca Foscari University of Venice

Claudia Eckert The Open University

Samuel Rota Bulò Facebook (United States)

External Links

Personal website of Battista Biggio Google Scholar page

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