Lorenzo Cavallaro

123 papers A* 18A 17B 7C 3Misc 2Journal 48Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aurora: Are Android Malware Classifiers Reliable under Distribution Shift? CoRR Alexander Herzog, Aliai Eusebi, Lorenzo Cavallaro
2025	J	`jnl`	Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing. CoRR Xinran Zheng, Xingzhi Qian, Yiling He, Shuo Yang, Lorenzo Cavallaro
2025	J	`jnl`	Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift. CoRR Theo Chow, Mario D'Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, Fabio Pierazzi
2025	J	`jnl`	Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems. CoRR Ping He, Lorenzo Cavallaro, Shouling Ji
2025	A*	`conf`	Expert Insights into Advanced Persistent Threats: Analysis, Attribution, and Challenges. USENIX Security Symposium Aakanksha Saha, James Mattei, Jorge Blasco, Lorenzo Cavallaro, Daniel Votipka, Martina Lindorfer
2025	J	`jnl`	Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]. ACM Trans. Priv. Secur. Jacopo Cortellazzi, Erwin Quiring, Daniel Arp, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2025	—	`conf`	LAMD: Context-Driven Android Malware Detection and Classification with LLMs. SP (Workshops) Xingzhi Qian, Xinran Zheng, Yiling He, Shuo Yang, Lorenzo Cavallaro
2025	J	`jnl`	LAMD: Context-driven Android Malware Detection and Classification with LLMs. CoRR Xingzhi Qian, Xinran Zheng, Yiling He, Shuo Yang, Lorenzo Cavallaro
2025	J	`jnl`	Learning Temporal Invariance in Android Malware Detectors. CoRR Xinran Zheng, Shuo Yang, Edith C. H. Ngai, Suman Jana, Lorenzo Cavallaro
2025	—	`conf`	ML-Based Behavioral Malware Detection Is Far From a Solved Problem. SaTML Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2025	—	`conf`	On Benchmarking Code LLMs for Android Malware Analysis. ISSTA Companion Yiling He, Hongyu She, Xingzhi Qian, Xinran Zheng, Zhuo Chen, Zhan Qin, Lorenzo Cavallaro
2025	J	`jnl`	On Benchmarking Code LLMs for Android Malware Analysis. CoRR Yiling He, Hongyu She, Xingzhi Qian, Xinran Zheng, Zhuo Chen, Zhan Qin, Lorenzo Cavallaro
2025	A	`conf`	On the Lack of Robustness of Binary Function Similarity Systems. EuroS&P Gianluca Capozzi, Tong Tang, Jie Wan, Ziqi Yang, Daniele Cono D'Elia, Giuseppe Antonio Di Luna, Lorenzo Cavallaro, Leonardo Querzoni
2025	J	`jnl`	On the Security Risks of ML-based Malware Detection Systems: A Survey. CoRR Ping He, Yuhao Mao, Changjiang Li, Lorenzo Cavallaro, Ting Wang, Shouling Ji
2025	J	`jnl`	Retrofit: Continual Learning with Bounded Forgetting for Security Applications. CoRR Yiling He, Junchi Lei, Hongyu She, Shuo Shao, Xinran Zheng, Yiping Liu, Zhan Qin, Lorenzo Cavallaro
2025	A	`conf`	The Adaptive Arms Race: Redefining Robustness in AI Security. RAID Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
2024	A	`conf`	ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files. RAID Aakanksha Saha, Jorge Blasco, Lorenzo Cavallaro, Martina Lindorfer
2024	A*	`conf`	ChainReactor: Automated Privilege Escalation Chain Discovery via AI Planning. USENIX Security Symposium Giulio De Pasquale, Ilya Grishchenko, Riccardo Iesari, Gabriel Pizarro, Lorenzo Cavallaro, Christopher Kruegel, Giovanni Vigna
2024	J	`jnl`	Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers. CoRR Gorka Abad, Stjepan Picek, Lorenzo Cavallaro, Aitor Urbieta
2024	J	`jnl`	Demystifying Behavior-Based Malware Detection at Endpoints. CoRR Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2024	—	`conf`	EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems. CPSIOTSEC@CCS Davide Rusconi, Matteo Zoia, Luca Buccioli, Fabio Pierazzi, Danilo Bruschi, Lorenzo Cavallaro, Flavio Toffalini, Andrea Lanzi
2024	A*	`conf`	Exploiting Code Symmetries for Learning Program Semantics. ICML Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
2024	A	`conf`	How to Train your Antivirus: RL-based Hardening through the Problem Space. RAID Ilias Tsingenopoulos, Jacopo Cortellazzi, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
2024	J	`jnl`	How to Train your Antivirus: RL-based Hardening through the Problem-Space. CoRR Jacopo Cortellazzi, Ilias Tsingenopoulos, Branislav Bosanský, Simone Aonzo, Davy Preuveneers, Wouter Joosen, Fabio Pierazzi, Lorenzo Cavallaro
2024	J	`jnl`	Identifying Authorship in Malicious Binaries: Features, Challenges & Datasets. ACM Comput. Surv. Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro, Jorge Blasco Alís
2024	J	`jnl`	On the Effectiveness of Adversarial Training on Malware Classifiers. CoRR Hamid Bostani, Jacopo Cortellazzi, Daniel Arp, Fabio Pierazzi, Veelasha Moonsamy, Lorenzo Cavallaro
2024	J	`jnl`	On the Lack of Robustness of Binary Function Similarity Systems. CoRR Gianluca Capozzi, Tong Tang, Jie Wan, Ziqi Yang, Daniele Cono D'Elia, Giuseppe Antonio Di Luna, Lorenzo Cavallaro, Leonardo Querzoni
2024	J	`jnl`	Pitfalls in Machine Learning for Computer Security. Commun. ACM Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024	J	`jnl`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version). CoRR Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
2024	—	`conf`	The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers. ACSAC Workshops Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2024	J	`jnl`	Unraveling the Key of Machine Learning Solutions for Android Malware Detection. CoRR Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang
2023	J	`jnl`	Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi, Lorenzo Cavallaro, Wouter Joosen
2023	J	`jnl`	Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Secur. Priv. Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
2023	A*	`conf`	Cross-Modal and Multi-Attribute Face Recognition: A Benchmark. ACM Multimedia Feng Lin, Kaiqiang Fu, Hao Luo, Ziyue Zhan, Zhibo Wang, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
2023	A*	`conf`	DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. ACM Multimedia Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren
2023	J	`jnl`	DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. CoRR Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren
2023	J	`jnl`	Do you still need a manual smart contract audit? CoRR Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais
2023	—	`conf`	Drift Forensics of Malware Classifiers. AISec@CCS Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
2023	—	`conf`	Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. SP (Workshops) Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023	A*	`conf`	Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. SP Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2023	J	`jnl`	Lessons Learned on Machine Learning for Computer Security. IEEE Secur. Priv. Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2023	A*	`conf`	Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. ACM Multimedia Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
2023	J	`jnl`	Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. CoRR Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren
2023	A*	`conf`	Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. CCS Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi
2023	—	`conf`	ROPfuscator: Robust Obfuscation with ROP. SP (Workshops) Giulio De Pasquale, Fukutomo Nakanishi, Daniele Ferla, Lorenzo Cavallaro
2023	J	`jnl`	Symmetry-Preserving Program Representations for Learning Code Semantics. CoRR Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana
2022	A	`conf`	Designing a Provenance Analysis for SGX Enclaves. ACSAC Flavio Toffalini, Mathias Payer, Jianying Zhou, Lorenzo Cavallaro
2022	J	`jnl`	Designing a Provenance Analysis for SGX Enclaves. CoRR Flavio Toffalini, Mathias Payer, Jianying Zhou, Lorenzo Cavallaro
2022	B	`ed.`	Detection of Intrusions and Malware, and Vulnerability Assessment - 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 - July 1, 2022, Proceedings DIMVA Lorenzo Cavallaro, Daniel Gruss, Giancarlo Pellegrino, Giorgio Giacinto
2022	A*	`conf`	Dos and Don'ts of Machine Learning in Computer Security. USENIX Security Symposium Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2022	J	`jnl`	Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. CoRR Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang
2022	A*	`conf`	Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. SP Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021	B	`ed.`	Detection of Intrusions and Malware, and Vulnerability Assessment - 18th International Conference, DIMVA 2021, Virtual Event, July 14-16, 2021, Proceedings DIMVA Leyla Bilge, Lorenzo Cavallaro, Giancarlo Pellegrino, Nuno Neves
2021	—	`conf`	INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021	J	`jnl`	Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets. CoRR Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro
2021	—	`conf`	Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2021	J	`jnl`	Universal Adversarial Perturbations for Malware. CoRR Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro
2021	J	`jnl`	User-Centered Design and Development of the Modular TWIN Lower Limb Exoskeleton. Frontiers Neurorobotics 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, Nicoló 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
2020	J	`jnl`	Dos and Don'ts of Machine Learning in Computer Security. CoRR Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2020	J	`jnl`	Intertwining ROP Gadgets and Opaque Predicates for Robust Obfuscation. CoRR Fukutomo Nakanishi, Giulio De Pasquale, Daniele Ferla, Lorenzo Cavallaro
2020	A*	`conf`	Intriguing Properties of Adversarial ML Attacks in the Problem Space. SP Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2020	J	`jnl`	On the Dissection of Evasive Malware. IEEE Trans. Inf. Forensics Secur. Daniele Cono D'Elia, Emilio Coppa, Federico Palmaro, Lorenzo Cavallaro
2020	A	`conf`	Probabilistic Naming of Functions in Stripped Binaries. ACSAC James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder
2020	—	`ed.`	Proceedings of the 13th European Workshop on Systems Security, EuroSec@EuroSys 2020, Heraklion, Greece, April 27, 2020 EuroSec@EuroSys Lorenzo Cavallaro, Andrea Lanzi
2020	J	`jnl`	Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2019	J	`jnl`	Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists. CoRR Simon Bell, Kenny Paterson, Lorenzo Cavallaro
2019	J	`jnl`	Intriguing Properties of Adversarial ML Attacks in the Problem Space. CoRR Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro
2019	—	`ed.`	Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019. AISec@CCS Lorenzo Cavallaro, Johannes Kinder, Sadia Afroz, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai
2019	—	`ed.`	Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society, WPES@CCS 2019, London, UK, November 11, 2019. WPES@CCS Lorenzo Cavallaro, Johannes Kinder, Josep Domingo-Ferrer
2019	A*	`ed.`	Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, CCS 2019, London, UK, November 11-15, 2019. CCS Lorenzo Cavallaro, Johannes Kinder, Xiaofeng Wang, Jonathan Katz
2019	—	`ed.`	Proceedings of the 3rd ACM Workshop on Forming an Ecosystem Around Software Transformation, CCS 2019, London, United Kingdom, November 11-15, 2019 FEAST@CCS Lorenzo Cavallaro, Johannes Kinder, Adam Doupé, Zhiqiang Lin
2019	—	`ed.`	Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy, CPS-SPC@CCS 2019, London, UK, November 11, 2019. CPS-SPC@CCS Lorenzo Cavallaro, Johannes Kinder, Thorsten Holz
2019	A	`conf`	SoK: Using Dynamic Binary Instrumentation for Security (And How You May Get Caught Red Handed). AsiaCCS Daniele Cono D'Elia, Emilio Coppa, Simone Nicchi, Federico Palmaro, Lorenzo Cavallaro
2019	A*	`conf`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. USENIX Security Symposium Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018	J	`jnl`	Anomaly-based exploratory analysis and detection of exploits in android mediaserver. IET Inf. Secur. Guillermo Suarez-Tangil, Santanu Kumar Dash, Pedro García-Teodoro, José Camacho, Lorenzo Cavallaro
2018	A	`conf`	BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. RAID Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder
2018	A*	`conf`	Enabling Fair ML Evaluations for Security. CCS Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2018	J	`jnl`	Reprint of "You can't touch this: Consumer-centric android application repackaging detection". Future Gener. Comput. Syst. Iakovos Gurulian, Konstantinos Markantonakis, Lorenzo Cavallaro, Keith Mayes
2018	J	`jnl`	TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. CoRR Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
2017	J	`jnl`	BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews. CoRR Claudio Rizzo, Lorenzo Cavallaro, Johannes Kinder
2017	—	`conf`	DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware. CODASPY Guillermo Suarez-Tangil, Santanu Kumar Dash, Mansour Ahmadi, Johannes Kinder, Giorgio Giacinto, Lorenzo Cavallaro
2017	A	`conf`	Euphony: harmonious unification of cacophonous anti-virus vendor labels for Android malware. MSR Médéric Hurier, Guillermo Suarez-Tangil, Santanu Kumar Dash, Tegawendé F. Bissyandé, Yves Le Traon, Jacques Klein, Lorenzo Cavallaro
2017	—	`conf`	Flipping 419 Cybercrime Scams: Targeting the Weak and the Vulnerable. WWW (Companion Volume) Gibson Mba, Jeremiah Onaolapo, Gianluca Stringhini, Lorenzo Cavallaro
2017	—	`conf`	Modular Synthesis of Heap Exploits. PLAS@CCS Dusan Repel, Johannes Kinder, Lorenzo Cavallaro
2017	—	`conf`	POTUS: Probing Off-The-Shelf USB Drivers with Symbolic Fault Injection. WOOT James Patrick-Evans, Lorenzo Cavallaro, Johannes Kinder
2017	A*	`conf`	Stack Bounds Protection with Low Fat Pointers. NDSS Gregory J. Duck, Roland H. C. Yap, Lorenzo Cavallaro
2017	J	`jnl`	The Evolution of Android Malware and Android Analysis Techniques. ACM Comput. Surv. Kimberly Tam, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, Lorenzo Cavallaro
2017	A*	`conf`	Transcend: Detecting Concept Drift in Malware Classification Models. USENIX Security Symposium Roberto Jordaney, Kumar Sharad, Santanu Kumar Dash, Zhi Wang, Davide Papini, Ilia Nouretdinov, Lorenzo Cavallaro
2017	J	`jnl`	Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting. IEEE Trans. Inf. Forensics Secur. Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
2017	—	`conf`	Understanding Android app piggybacking. ICSE (Companion Volume) Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
2016	—	`conf`	DroidScribe: Classifying Android Malware Based on Runtime Behavior. IEEE Symposium on Security and Privacy Workshops Santanu Kumar Dash, Guillermo Suarez-Tangil, Salahuddin J. Khan, Kimberly Tam, Mansour Ahmadi, Johannes Kinder, Lorenzo Cavallaro
2016	—	`conf`	Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. AISec@CCS Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro
2016	—	`ed.`	Proceedings of the 1st International Workshop on Innovations in Mobile Privacy and Security, IMPS 2016, co-located with the International Symposium on Engineering Secure Software and Systems (ESSoS 2016), London, UK, April 6, 2016. IMPS@ESSoS David Aspinall, Lorenzo Cavallaro, Mohamed Nassim Seghir, Melanie Volkamer
2016	J	`jnl`	You can't touch this: Consumer-centric android application repackaging detection. Future Gener. Comput. Syst. Iakovos Gurulian, Konstantinos Markantonakis, Lorenzo Cavallaro, Keith Mayes
2015	—	`conf`	Conformal Clustering and Its Application to Botnet Traffic. SLDS Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro
2015	A*	`conf`	CopperDroid: Automatic Reconstruction of Android Malware Behaviors. NDSS Kimberly Tam, Salahuddin J. Khan, Aristide Fattori, Lorenzo Cavallaro
2014	B	`conf`	Phoenix: DGA-Based Botnet Tracking and Intelligence. DIMVA Stefano Schiavoni, Federico Maggi, Lorenzo Cavallaro, Stefano Zanero
2014	J	`jnl`	PuppetDroid: A User-Centric UI Exerciser for Automatic Dynamic Analysis of Similar Android Applications. CoRR Andrea Gianazza, Federico Maggi, Aristide Fattori, Lorenzo Cavallaro, Stefano Zanero
2013	C	`ed.`	Information Security Theory and Practice. Security of Mobile and Cyber-Physical Systems, 7th IFIP WG 11.2 International Workshop, WISTP 2013, Heraklion, Greece, May 28-30, 2013. Proceedings WISTP Lorenzo Cavallaro, Dieter Gollmann
2013	A	`conf`	Practical automated vulnerability monitoring using program state invariants. DSN Cristiano Giuffrida, Lorenzo Cavallaro, Andrew S. Tanenbaum
2013	J	`jnl`	Tracking and Characterizing Botnets Using Automatically Generated Domains. CoRR Stefano Schiavoni, Federico Maggi, Lorenzo Cavallaro, Stefano Zanero
2012	A	`conf`	Memory Errors: The Past, the Present, and the Future. RAID Victor van der Veen, Nitish dutt-Sharma, Lorenzo Cavallaro, Herbert Bos
2012	J	`jnl`	Peering into the Muddy Waters of Pastebin. ERCIM News Srdjan Matic, Aristide Fattori, Danilo Bruschi, Lorenzo Cavallaro
2012	A	`conf`	When hardware meets software: a bulletproof solution to forensic memory acquisition. ACSAC Alessandro Reina, Aristide Fattori, Fabio Pagani, Lorenzo Cavallaro, Danilo Bruschi
2011	—	`conf`	Sandnet: network traffic analysis of malicious software. BADGERS@EuroSys Christian Rossow, Christian J. Dietrich, Herbert Bos, Lorenzo Cavallaro, Maarten van Steen, Felix C. Freiling, Norbert Pohlmann
2011	—	`conf`	Systems Security at VU University Amsterdam. SysSec@DIMVA Herbert Bos, Lorenzo Cavallaro, Andrew S. Tanenbaum
2011	Misc	`conf`	Taint-Enhanced Anomaly Detection. ICISS Lorenzo Cavallaro, R. Sekar
2010	A	`conf`	Live and Trustworthy Forensic Analysis of Commodity Production Systems. RAID Lorenzo Martignoni, Aristide Fattori, Roberto Paleari, Lorenzo Cavallaro
2010	J	`jnl`	MINIX 3: Status Report and Current Research. login Usenix Mag. Andrew S. Tanenbaum, Raja Appuswamy, Herbert Bos, Lorenzo Cavallaro, Cristiano Giuffrida, Tomás Hrubý, Jorrit N. Herder, Erik van der Kouwe, David C. van Moolenbroek
2010	B	`conf`	Organizing Large Scale Hacking Competitions. DIMVA Nicholas Childers, Bryce Boe, Lorenzo Cavallaro, Ludovico Cavedon, Marco Cova, Manuel Egele, Giovanni Vigna
2010	A	`conf`	PAriCheck: an efficient pointer arithmetic checker for C programs. AsiaCCS Yves Younan, Pieter Philippaerts, Lorenzo Cavallaro, R. Sekar, Frank Piessens, Wouter Joosen
2010	B	`conf`	Take a Deep Breath: A Stealthy, Resilient and Cost-Effective Botnet Using Skype. DIMVA Antonio Nappa, Aristide Fattori, Marco Balduzzi, Matteo Dell'Amico, Lorenzo Cavallaro
2010	—	`conf`	We Crashed, Now What? HotDep Cristiano Giuffrida, Lorenzo Cavallaro, Andrew S. Tanenbaum
2009	A*	`conf`	Your botnet is my botnet: analysis of a botnet takeover. CCS Brett Stone-Gross, Marco Cova, Lorenzo Cavallaro, Bob Gilbert, Martin Szydlowski, Richard A. Kemmerer, Christopher Kruegel, Giovanni Vigna
2008	Misc	`conf`	A Parallel Architecture for Stateful, High-Speed Intrusion Detection. ICISS Luca Foschini, Ashish V. Thapliyal, Lorenzo Cavallaro, Christopher Kruegel, Giovanni Vigna
2008	A	`conf`	Anomalous Taint Detection. RAID Lorenzo Cavallaro, R. Sekar
2008	—	`conf`	LISABETH: automated content-based signature generator for zero-day polymorphic worms. SESS Lorenzo Cavallaro, Andrea Lanzi, Luca Mayer, Mattia Monga
2008	B	`conf`	On the Limits of Information Flow Techniques for Malware Analysis and Containment. DIMVA Lorenzo Cavallaro, Prateek Saxena, R. Sekar
2007	C	`conf`	An Efficient Technique for Preventing Mimicry and Impossible Paths Execution Attacks. IPCCC Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
2007	C	`conf`	Diversified Process Replicæ for Defeating Memory Error Exploits. IPCCC Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
2007	B	`conf`	Static Analysis on x86 Executables for Preventing Automatic Mimicry Attacks. DIMVA Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi
2005	A	`conf`	Replay Attack in TCG Specification and Solution. ACSAC Danilo Bruschi, Lorenzo Cavallaro, Andrea Lanzi, Mattia Monga
2000	A	`conf`	Less Harm, Less Worry or How to Improve Network Security by Bounding System Offensiveness. ACSAC Danilo Bruschi, Lorenzo Cavallaro, Emilia Rosti