Follow
Lorenzo Cavallaro
Title
Cited by
Cited by
Year
Your botnet is my botnet: Analysis of a botnet takeover
B Stone-Gross, M Cova, L Cavallaro, B Gilbert, M Szydlowski, ...
Proceedings of the 16th ACM conference on Computer and communications …, 2009
9962009
Copperdroid: Automatic reconstruction of android malware behaviors.
K Tam, SJ Khan, A Fattori, L Cavallaro
Ndss, 1-15, 2015
5402015
The Evolution of Android Malware and Android Analysis Techniques
K Tam, A Feizollah, NB Anuar, R Salleh, L Cavallaro
ACM Computing Surveys (CSUR) 49 (4), 76, 2017
4692017
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro
28th {USENIX} Security Symposium ({USENIX} Security 19), 729-746, 2019
4542019
Dos and don'ts of machine learning in computer security
D Arp, E Quiring, F Pendlebury, A Warnecke, F Pierazzi, C Wressnegger, ...
31st USENIX Security Symposium (USENIX Security 22), 3971-3988, 2022
4082022
Transcend: Detecting Concept Drift in Malware Classification Models
R Jordaney, K Sharad, SK Dash, Z Wang, D Papini, I Nouretdinov, ...
USENIX Security Symposium, 2017
3562017
Intriguing Properties of Adversarial ML Attacks in the Problem Space
F Pierazzi, F Pendlebury, J Cortellazzi, L Cavallaro
2020 IEEE Symposium on Security and Privacy (SP), 1332-1349, 2020
3272020
DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware
G Suarez-Tangil, SK Dash, M Ahmadi, J Kinder, G Giacinto, L Cavallaro
ACM Conference on Data and Application Security and Privacy (CODASPY), 2017
3142017
Phoenix: DGA-based botnet tracking and intelligence
S Schiavoni, F Maggi, L Cavallaro, S Zanero
International Conference on detection of intrusions and malware, and …, 2014
3022014
A system call-centric analysis and stimulation technique to automatically reconstruct android malware behaviors
A Reina, A Fattori, L Cavallaro
EuroSec, April, 2013
2902013
Memory errors: The past, the present, and the future
V Van der Veen, N Dutt-Sharma, L Cavallaro, H Bos
Research in Attacks, Intrusions, and Defenses: 15th International Symposium …, 2012
2382012
DroidScribe: Classifying Android Malware Based on Runtime Behavior
SK Dash, G Suarez-Tangil, S Khan, K Tam, M Ahmadi, J Kinder, ...
Security and Privacy Workshops (SPW), 2016 IEEE, 252-261, 2016
2162016
On the limits of information flow techniques for malware analysis and containment
L Cavallaro, P Saxena, R Sekar
International conference on Detection of Intrusions and Malware, and …, 2008
2162008
Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting
L Li, D Li, TF Bissyandé, J Klein, Y Le Traon, D Lo, L Cavallaro
IEEE Transactions on Information Forensics and Security 12 (6), 1269-1284, 2017
2082017
Sandnet: Network traffic analysis of malicious software
C Rossow, CJ Dietrich, H Bos, L Cavallaro, M van Steen, FC Freiling, ...
Proceedings of the First Workshop on Building Analysis Datasets and …, 2011
1372011
PAriCheck: an efficient pointer arithmetic checker for C programs
Y Younan, P Philippaerts, L Cavallaro, R Sekar, F Piessens, W Joosen
Proceedings of the 5th ACM Symposium on Information, Computer and …, 2010
1352010
Stack Bounds Protection with Low Fat Pointers
GJ Duck, RHC Yap, L Cavallaro
NDSS, 2017
1312017
Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware
SKDLC Médéric Hurier, Tegawendé Bissyandé, Yves Le Traon, Jacques Klein ...
14th International Conference on Mining Software Repositories, 2017
128*2017
Insomnia: Towards concept-drift robustness in network intrusion detection
G Andresini, F Pendlebury, F Pierazzi, C Loglisci, A Appice, L Cavallaro
Proceedings of the 14th ACM workshop on artificial intelligence and security …, 2021
1032021
Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
F Barbero, F Pendlebury, F Pierazzi, L Cavallaro
2022 IEEE Symposium on Security and Privacy (SP), 2022
88*2022
The system can't perform the operation now. Try again later.
Articles 1–20