Research output per year
Research output per year
Personal profile
Research interests (short)
My research vision is to develop techniques that automatically protect systems from vulnerabilities and malicious behaviors. My approach works at the intersection of program analysis and machine learning for systems security, brought to life by the Systems Security Research Lab I have been founding and leading since Sep 2014.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Dos and Don'ts of Machine Learning in Computer Security
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Christian Wressnegger & Konrad Rieck, 15 Jul 2021, (Accepted/In press) Dos and Don'ts of Machine Learning in Computer Security. 2022 ed. USENIX, (Usenix Security Symposium (USENIX)).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile225 Downloads (Pure) -
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection
Andresini, G., Pendlebury, F., Pierazzi, F., Loglisci, C., Appice, A. & Cavallaro, L., 8 Sept 2021, (Accepted/In press) Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security (AISec). ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile960 Downloads (Pure) -
Intriguing Properties of Adversarial ML Attacks in the Problem Space
Pierazzi, F., Pendlebury, F., Cortellazzi, J. & Cavallaro, L., 18 May 2020, In: 2020 IEEE Symposium on Security and Privacy. p. 1332-1349 18 p.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile199 Citations (Scopus)325 Downloads (Pure) -
On the Dissection of Evasive Malware
Cono D'Elia, D., Coppa, E., Palmaro, F. & Cavallaro, L., 2020, In: IEEE Transactions on Information Forensics and Security. 15, p. 2750-2765 16 p., 9018111.Research output: Contribution to journal › Article › peer-review
Open AccessFile37 Citations (Scopus)616 Downloads (Pure) -
Probabilistic Naming of Functions in Stripped Binaries
Patrick-Evans, J., Cavallaro, L. & Kinder, J., 7 Dec 2020, Proceedings - 36th Annual Computer Security Applications Conference, ACSAC 2020. p. 373-385 13 p. 3427265. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile16 Citations (Scopus)244 Downloads (Pure)
Projects
- 1 Finished
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MobSec: Malware and Security in the Mobile Age
Cavallaro, L. (Primary Investigator)
EPSRC Engineering and Physical Sciences Research Council
1/09/2018 → 4/11/2019
Project: Research