Lorenzo Cavallaro

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 60

Top Topics

Malware Detection

Top Venues

USENIX Security Symposium

Publications

Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang
Unraveling the Key of Machine Learning Solutions for Android Malware Detection. CoRR (2024)
Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro, Jorge Blasco Alís
Identifying Authorship in Malicious Binaries: Features, Challenges & Datasets. ACM Comput. Surv. 56 (8) (2024)
Giulio De Pasquale, Ilya Grishchenko, Riccardo Iesari, Gabriel Pizarro, Lorenzo Cavallaro, Christopher Kruegel, Giovanni Vigna
ChainReactor: Automated Privilege Escalation Chain Discovery via AI Planning. USENIX Security Symposium (2024)
Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR (2024)
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). CoRR (2024)
Jacopo Cortellazzi, Ilias Tsingenopoulos, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
How to Train your Antivirus: RL-based Hardening through the Problem-Space. CoRR (2024)
Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. CoRR (2023)
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. SP (2023)
Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. CoRR (2023)
Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
Symmetry-Preserving Program Representations for Learning Code Semantics. CoRR (2023)
Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. ACM Multimedia (2023)
Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
Drift Forensics of Malware Classifiers. AISec@CCS (2023)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. 21 (5) (2023)
Giulio De Pasquale, Fukutomo Nakanishi, Daniele Ferla, Lorenzo Cavallaro
ROPfuscator: Robust Obfuscation with ROP. SP Workshops (2023)
Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. ACM Multimedia (2023)
Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. 21 (2) (2023)
Feng Lin, Kaiqiang fu, Hao Luo, Ziyue Zhan, Zhibo Wang, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
Cross-Modal and Multi-Attribute Face Recognition: A Benchmark. ACM Multimedia (2023)
Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. SP Workshops (2023)
Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. CCS (2023)
Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR (2023)
Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais
Do you still need a manual smart contract audit? CoRR (2023)
Flavio Toffalini, Mathias Payer, Jianying Zhou, Lorenzo Cavallaro
Designing a Provenance Analysis for SGX Enclaves. CoRR (2022)
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. CoRR (2022)
Flavio Toffalini, Mathias Payer, Jianying Zhou, Lorenzo Cavallaro
Designing a Provenance Analysis for SGX Enclaves. ACSAC (2022)
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. IEEE Symposium on Security and Privacy (2022)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium (2022)
Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro
Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets. CoRR (2021)
Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS (2021)
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS (2021)
Matteo Laffranchi, Stefano D'Angella, Christian Vassallo, Chiara Piezzo, Michele Canepa, Samuele De Giuseppe, Mirco Di Salvo, Antonio Succi, Samuele Cappa, Giulio Cerruti, Silvia Scarpetta, Lorenzo Cavallaro, Nicolo Boccardo, Maria Laura D'Angelo, Claudia Marchese, Jody A. Saglia, Eleonora Guanziroli, Giacinto Barresi, Marianna Semprini, Simone Traverso, Stefano Maludrottu, Franco Molteni, Rinaldo Sacchetti, Emanuele Gruppioni, Lorenzo De Michieli
User-Centered Design and Development of the Modular TWIN Lower Limb Exoskeleton. Frontiers Neurorobotics 15 (2021)
Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
Universal Adversarial Perturbations for Malware. CoRR (2021)
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
Intriguing Properties of Adversarial ML Attacks in the Problem Space. IEEE Symposium on Security and Privacy (2020)
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Dos and Don'ts of Machine Learning in Computer Security. CoRR (2020)
Fukutomo Nakanishi, Giulio De Pasquale, Daniele Ferla, Lorenzo Cavallaro
Intertwining ROP Gadgets and Opaque Predicates for Robust Obfuscation. CoRR (2020)
James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder
Probabilistic Naming of Functions in Stripped Binaries. ACSAC (2020)
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR (2020)
Daniele Cono D'Elia, Emilio Coppa, Federico Palmaro, Lorenzo Cavallaro
On the Dissection of Evasive Malware. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium (2019)
Simon Bell, Kenny Paterson, Lorenzo Cavallaro
Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists. CoRR (2019)
Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR (2019)
Daniele Cono D'Elia, Emilio Coppa, Simone Nicchi, Federico Palmaro, Lorenzo Cavallaro
SoK: Using Dynamic Binary Instrumentation for Security (And How You May Get Caught Red Handed). AsiaCCS (2019)
Iakovos Gurulian, Konstantinos Markantonakis, Lorenzo Cavallaro, Keith Mayes
Reprint of "You can't touch this: Consumer-centric android application repackaging detection". Future Gener. Comput. Syst. 80 (2018)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR (2018)
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
Enabling Fair ML Evaluations for Security. CCS (2018)
Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder
BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. RAID (2018)
Guillermo Suarez-Tangil, Santanu Kumar Dash, Pedro García-Teodoro, José Camacho, Lorenzo Cavallaro
Anomaly-based exploratory analysis and detection of exploits in android mediaserver. IET Inf. Secur. 12 (5) (2018)
Kimberly Tam, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, Lorenzo Cavallaro
The Evolution of Android Malware and Android Analysis Techniques. ACM Comput. Surv. 49 (4) (2017)
Médéric Hurier, Guillermo Suarez-Tangil, Santanu Kumar Dash, Tegawendé F. Bissyandé, Yves Le Traon, Jacques Klein, Lorenzo Cavallaro
Euphony: harmonious unification of cacophonous anti-virus vendor labels for Android malware. MSR (2017)
Roberto Jordaney, Kumar Sharad, Santanu Kumar Dash, Zhi Wang, Davide Papini, Ilia Nouretdinov, Lorenzo Cavallaro
Transcend: Detecting Concept Drift in Malware Classification Models. USENIX Security Symposium (2017)
Dusan Repel, Johannes Kinder, Lorenzo Cavallaro
Modular Synthesis of Heap Exploits. PLAS@CCS (2017)
Gregory J. Duck, Roland H. C. Yap, Lorenzo Cavallaro
Stack Bounds Protection with Low Fat Pointers. NDSS (2017)
James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder
POTUS: Probing Off-The-Shelf USB Drivers with Symbolic Fault Injection. WOOT (2017)
Guillermo Suarez-Tangil, Santanu Kumar Dash, Mansour Ahmadi, Johannes Kinder, Giorgio Giacinto, Lorenzo Cavallaro
DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware. CODASPY (2017)
Gibson Mba, Jeremiah Onaolapo, Gianluca Stringhini, Lorenzo Cavallaro
Flipping 419 Cybercrime Scams: Targeting the Weak and the Vulnerable. WWW (Companion Volume) (2017)
Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting. IEEE Trans. Inf. Forensics Secur. 12 (6) (2017)
Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder
BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. CoRR (2017)
Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
Understanding Android app piggybacking. ICSE (Companion Volume) (2017)
Santanu Kumar Dash, Guillermo Suarez-Tangil, Salahuddin J. Khan, Kimberly Tam, Mansour Ahmadi, Johannes Kinder, Lorenzo Cavallaro
DroidScribe: Classifying Android Malware Based on Runtime Behavior. IEEE Symposium on Security and Privacy Workshops (2016)
Iakovos Gurulian, Konstantinos Markantonakis, Lorenzo Cavallaro, Keith Mayes
You can't touch this: Consumer-centric android application repackaging detection. Future Gener. Comput. Syst. 65 (2016)
Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro
Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. AISec@CCS (2016)
Kimberly Tam, Salahuddin J. Khan, Aristide Fattori, Lorenzo Cavallaro
CopperDroid: Automatic Reconstruction of Android Malware Behaviors. NDSS (2015)
Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro
Conformal Clustering and Its Application to Botnet Traffic. SLDS (2015)
Andrea Gianazza, Federico Maggi, Aristide Fattori, Lorenzo Cavallaro, Stefano Zanero
PuppetDroid: A User-Centric UI Exerciser for Automatic Dynamic Analysis of Similar Android Applications. CoRR (2014)
Stefano Schiavoni, Federico Maggi, Lorenzo Cavallaro, Stefano Zanero
Phoenix: DGA-Based Botnet Tracking and Intelligence. DIMVA (2014)
Stefano Schiavoni, Federico Maggi, Lorenzo Cavallaro, Stefano Zanero
Tracking and Characterizing Botnets Using Automatically Generated Domains. CoRR (2013)
Cristiano Giuffrida, Lorenzo Cavallaro, Andrew S. Tanenbaum
Practical automated vulnerability monitoring using program state invariants. DSN (2013)
Alessandro Reina, Aristide Fattori, Fabio Pagani, Lorenzo Cavallaro, Danilo Bruschi
When hardware meets software: a bulletproof solution to forensic memory acquisition. ACSAC (2012)
Srdjan Matic, Aristide Fattori, Danilo Bruschi, Lorenzo Cavallaro
Peering into the Muddy Waters of Pastebin. ERCIM News 2012 (90) (2012)
Victor van der Veen, Nitish dutt-Sharma, Lorenzo Cavallaro, Herbert Bos
Memory Errors: The Past, the Present, and the Future. RAID (2012)
Herbert Bos, Lorenzo Cavallaro, Andrew S. Tanenbaum
Systems Security at VU University Amsterdam. SysSec@DIMVA (2011)
Lorenzo Cavallaro, R. Sekar
Taint-Enhanced Anomaly Detection. ICISS (2011)
Christian Rossow, Christian J. Dietrich, Herbert Bos, Lorenzo Cavallaro, Maarten van Steen, Felix C. Freiling, Norbert Pohlmann
Sandnet: network traffic analysis of malicious software. BADGERS@EuroSys (2011)
Yves Younan, Pieter Philippaerts, Lorenzo Cavallaro, R. Sekar, Frank Piessens, Wouter Joosen
PAriCheck: an efficient pointer arithmetic checker for C programs. AsiaCCS (2010)
Cristiano Giuffrida, Lorenzo Cavallaro, Andrew S. Tanenbaum
We Crashed, Now What? HotDep (2010)
Antonio Nappa, Aristide Fattori, Marco Balduzzi, Matteo Dell'Amico, Lorenzo Cavallaro
Take a Deep Breath: A Stealthy, Resilient and Cost-Effective Botnet Using Skype. DIMVA (2010)
Lorenzo Martignoni, Aristide Fattori, Roberto Paleari, Lorenzo Cavallaro
Live and Trustworthy Forensic Analysis of Commodity Production Systems. RAID (2010)
Nicholas Childers, Bryce Boe, Lorenzo Cavallaro, Ludovico Cavedon, Marco Cova, Manuel Egele, Giovanni Vigna
Organizing Large Scale Hacking Competitions. DIMVA (2010)
Andrew S. Tanenbaum, Raja Appuswamy, Herbert Bos, Lorenzo Cavallaro, Cristiano Giuffrida, Tomás Hrubý, Jorrit N. Herder, Erik van der Kouwe, David C. van Moolenbroek
MINIX 3: Status Report and Current Research. login Usenix Mag. 35 (3) (2010)
Brett Stone-Gross, Marco Cova, Lorenzo Cavallaro, Bob Gilbert, Martin Szydlowski, Richard A. Kemmerer, Christopher Kruegel, Giovanni Vigna
Your botnet is my botnet: analysis of a botnet takeover. CCS (2009)
Lorenzo Cavallaro, Andrea Lanzi, Luca Mayer, Mattia Monga
LISABETH: automated content-based signature generator for zero-day polymorphic worms. SESS (2008)
Lorenzo Cavallaro, R. Sekar
Anomalous Taint Detection. RAID (2008)
Lorenzo Cavallaro, Prateek Saxena, R. Sekar
On the Limits of Information Flow Techniques for Malware Analysis and Containment. DIMVA (2008)
Luca Foschini, Ashish V. Thapliyal, Lorenzo Cavallaro, Christopher Kruegel, Giovanni Vigna
A Parallel Architecture for Stateful, High-Speed Intrusion Detection. ICISS (2008)
Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
Diversified Process Replicæ for Defeating Memory Error Exploits. IPCCC (2007)
Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
Static Analysis on x86 Executables for Preventing Automatic Mimicry Attacks. DIMVA (2007)
Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
An Efficient Technique for Preventing Mimicry and Impossible Paths Execution Attacks. IPCCC (2007)
Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi, Mattia Monga
Replay Attack in TCG Specification and Solution. ACSAC (2005)
Danilo Bruschi, Lorenzo Cavallaro, Emilia Rosti
Less Harm, Less Worry or How to Improve Network Security by Bounding System Offensiveness. ACSAC (2000)