Giacinto, Giorgio

1. Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
   2018/03/12 by Kolosnjaji, Bojan, Demontis, Ambra, Biggio, Battista +4 · 8 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
2. Novel Feature Extraction, Selection and Fusion for Effective Malware\n Family Classification
   2015/11/13 by Mansour Ahmadi, Dmitry Ulyanov, Ahmadi, Mansour +8 · 6 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection
3. Yes, Machine Learning Can Be More Secure! A Case Study on Android\n Malware Detection
   2017/04/28 by Ambra Demontis, Demontis, Ambra, Marco Melis +15 · 6 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Network Security and Intrusion Detection
4. Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
   2024/09/02 by Piras, Giorgio, Pintor, Maura, Demontis, Ambra +3 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. A Longitudinal Study of Cryptographic API: a Decade of Android Malware
   2022/05/11 by Adam Janovsky, Davide Maiorca, Janovsky, Adam +7 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Spam and Phishing Detection #Chaos-based Image/Signal Encryption
6. Can you See me? On the Visibility of NOPs against Android Malware Detectors
   2023/12/28 by Diego Soi, Soi, Diego, Davide Maiorca +5 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Network Security and Intrusion Detection