Lorenzo Cavallaro

1. TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
   2018/07/20 by Feargus Pendlebury, Fabio Pierazzi, Pendlebury, Feargus +7 · 24 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Software Testing and Debugging Techniques
2. Do you still need a manual smart contract audit?
   2023/06/21 by Isaac David, Liyi Zhou, David, Isaac +9 · 9 citations
   Computer Science · #Internet Traffic Analysis and Secure E-voting #Cryptography and Data Security #Advanced Malware Detection Techniques
3. Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets
   2021/01/15 by Jason Gray, Daniele Sgandurra, Gray, Jason +3 · 1 voice
   Computer Science · #Spam and Phishing Detection #Authorship Attribution and Profiling #Hate Speech and Cyberbullying Detection
4. LAMD: Context-driven Android Malware Detection and Classification with LLMs
   2025/02/18 by Qian, Xingzhi, Xinran Zheng, Yiling He +6 · 12 citations
   Computer Science · #Advanced Malware Detection Techniques #Mobile and Web Applications #Network Security and Intrusion Detection
5. TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
   2024/02/02 by Zeliang Kan, Kan, Zeliang, Shae McFadden +13 · 3 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Performance (cs.PF)
6. Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]
   2019/11/05 by Jacopo Cortellazzi, Feargus Pendlebury, Cortellazzi, Jacopo +7 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
7. Unraveling the Key of Machine Learning Solutions for Android Malware Detection
   2024/02/05 by Jiahao Liu, Liu, Jiahao, Jun Zeng +8 · 2 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Realizable Universal Adversarial Perturbations for Malware
   2021/02/12 by Raphael Labaca-Castro, Luis Muñoz-González, Labaca-Castro, Raphael +9 · 1 citation
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
9. ML-Based Behavioral Malware Detection Is Far From a Solved Problem
   2024/05/09 by Yiğitcan Kaya, Yizheng Chen, Kaya, Yigitcan +12 · 2 citations
   Computer Science · #Advanced Malware Detection Techniques #Network Security and Intrusion Detection #Digital and Cyber Forensics
10. Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
    2022/02/11 by Yang Li, Zhi Chen, Yang, Limin +13 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
11. The Adaptive Arms Race: Redefining Robustness in AI Security
    2023/12/20 by Ilias Tsingenopoulos, Tsingenopoulos, Ilias, Vera Rimmer +9 · 1 citation
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
12. Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
    2025/01/23 by Ping He, He, Ping, Lorenzo Cavallaro +3 · 2 citations
    Computer Science · Engineering · #Advanced Malware Detection Techniques #Network Security and Intrusion Detection #Fire Detection and Safety Systems
13. Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers
    2024/09/06 by Gorka Abad, Stjepan Picek, Abad, Gorka +5 · 1 citation
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
14. Poster: Rethinking Security in LLM Code Generation through Real-World Risk Scenarios
    2026/07/25 by Lixun Ma, Ruolong Ma, Bei Wang +4
    #cs.CR #cs.AI