Research output per year
Research output per year
Personal profile
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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):
Academic qualification
PhD, PhD in Computer Systems, Vrije Universiteit Amsterdam
Award Date: 10 Apr 2014
Keywords
- QA76 Computer software
- QA75 Electronic computers. Computer science
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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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EuroSys 2025
Lawall, J., Chen, H., Giuffrida, C., Liang, K. & Smaragdakis, G., 2025, EuroSys '25: Proceedings of the Twentieth European Conference on Computer Systems. ACM, p. ix-xv 7 p.Research output: Chapter in Book / Report / Conference proceeding › Foreword/postscript › Academic
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Phantom Trails: Practical Pre-Silicon Discovery of Transient Data Leaks
Tron, A. D. F., Isemann, R., Ragab, H., Giuffrida, C., Gleissenthall, K. V. & Bos, H., 2025, USENIX Security.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
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RangeSanitizer: Detecting Memory Errors with Efficient Range Checks
Gorter, F. & Giuffrida, C., 2025, USENIX Security.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
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Data-Only Attacks Are Easier than You Think
Johannesmeyer, B., Bos, H., Giuffrida, C. & Slowinska, A., 2024, In: ;login:. 2024, 15 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile -
GhostRace: Exploiting and Mitigating Speculative Race Conditions
Ragab, H., Mambretti, A., Kurmus, A. & Giuffrida, C., 2024, 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024: [Proceedings]. Balzarotti, D. & Xu, W. (eds.). USENIX Association, p. 6185-6202 18 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open Access
Courses
Datasets
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VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching - (Evaluation Data)
Pawlowski, A. (Contributor), van der Veen, V. (Contributor), Andriesse, D. (Contributor), van der Kouwe, E. (Contributor), Holz, T. (Contributor), Giuffrida, C. (Contributor) & Bos, H. (Contributor), Zenodo, 2019
DOI: 10.5281/zenodo.3523939, https://zenodo.org/record/3523939
Dataset / Software: Dataset