Giovanni Apruzzese
Publications by Year
Research Areas
Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Adversarial Robustness in Machine Learning, Spam and Phishing Detection, Information and Cyber Security
Most-Cited Works
- → On the effectiveness of machine and deep learning for cyber security(2018)301 cited
- → The Role of Machine Learning in Cybersecurity(2022)225 cited
- → Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks(2020)109 cited
- → Addressing Adversarial Attacks Against Security Systems Based on Machine Learning(2019)102 cited
- → The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems(2022)101 cited
- → Hardening Random Forest Cyber Detectors Against Adversarial Attacks(2020)71 cited
- → “Real Attackers Don't Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice(2023)64 cited
- → Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples(2018)46 cited
- → Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors(2019)41 cited
- → SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection(2023)37 cited