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Battista Biggio — most-cited papers & profile · Cybersecurity
← authors
·
overview
Battista Biggio
21
papers ·
1018
citations ·
0
h-index
University of Cagliari
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
2018 · 783 citations
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
2022 · 46 citations
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
2018 · 44 citations
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
2018 · 40 citations
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
2019 · 24 citations
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
2020 · 21 citations
Machine Learning Security against Data Poisoning: Are We There Yet?
2022 · 13 citations
Energy-Latency Attacks via Sponge Poisoning
2022 · 11 citations
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
2017 · 9 citations
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022 · 4 citations
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
2024 · 3 citations
AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack
2016 · 2 citations
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
2024 · 2 citations
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python
2021 · 1 citations
Robust Machine Learning for Malware Detection over Time
2022 · 1 citations
Top co-authors
Fabio Roli
· 9
Luca Demetrio
· 9
Ambra Demontis
· 7
Maura Pintor
· 5
Davide Maiorca
· 4
Giorgio Giacinto
· 4
Alessandro Armando
· 2
Antonio Emanuele Cin\`a
· 2
Daniele Angioni
· 2
Dmitrijs Trizna
· 2
Giorgio Piras
· 2
Giovanni Lagorio
· 2
Topics
Adversarial ML
Vulnerability Detection
Malware Detection
Threat Intelligence
Anomaly Detection
LLM Security
Network Security