Research output per year
Research output per year
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Dive into the research topics where Fabio Pierazzi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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Drift Forensics of Malware Classifiers
Chow, T., Kan, Z., Linhardt, L., Arp, D., Cavallaro, L. & Pierazzi, F., 14 Aug 2023, (Accepted/In press) Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec). ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile65 Downloads (Pure) -
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors
Chen, Z., Zhang, Z., Kan, Z., Cortellazzi, J., Pendlebury, F., Pierazzi, F., Cavallaro, L. & Wang, G., 18 Mar 2023, (Accepted/In press) Deep Learning Security and Privacy Workshop (DLSP). 2023 ed. IEEE, (IEEE Symposium on Security on Privacy Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile75 Downloads (Pure) -
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Yang, L., Chen, Z., Cortellazzi, J., Pendlebury, F., Tu, K., Pierazzi, F., Cavallaro, L. & Wang, G., 10 Mar 2023, (Accepted/In press) IEEE Symposium on Security & Privacy. 2023 ed.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile121 Downloads (Pure) -
Exploring the Security and Privacy Risks of Chatbots in Messaging Services
Edu, J., Mulligan, C., Pierazzi, F., Polakis, J., Suarez-Tangil, G. & Such, J., 19 Sept 2022, (Accepted/In press) Proceedings of the 22nd ACM Internet Measurement Conference (IMC '22), October 25--27, 2022, Nice, France: ACM.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile338 Downloads (Pure) -
Position: “Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice
Apruzzese, G., Anderson, H., Dambra, S., Freeman, D., Pierazzi, F. & Roundy, K., 15 Nov 2022, (Accepted/In press) IEEE Conference on Secure and Trustworthy Machine Learning. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile245 Downloads (Pure)
Projects
- 3 Active
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XAdv: XAdv: Robust Explanations for Malware Detection
EPSRC Engineering and Physical Sciences Research Council
1/10/2023 → 30/09/2026
Project: Research
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