activity
20192024
most citedBackdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models

79 citations · 155 across the 13 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2024★ 12 cited

SoK: Can Trajectory Generation Combine Privacy and Utility?

Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2

While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious prefer…

cs.CR2022★ 17 cited

Reconstruction Attack on Differential Private Trajectory Protection Mechanisms

Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2

Location trajectories collected by smartphones and other devices represent a valuable data source for applications such as location-based services. Likewise, trajectories have the…

cs.CR2022

Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns

Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +6

The daily deluge of alerts is a sombre reality for Security Operations Centre (SOC) personnel worldwide. They are at the forefront of an organisation's cybersecurity infrastructure…

cs.CR2022★ 9 cited

Towards Web Phishing Detection Limitations and Mitigation

Alsharif Abuadbba, Shuo Wang, Mahathir Almashor +4

Web phishing remains a serious cyber threat responsible for most data breaches. Machine Learning (ML)-based anti-phishing detectors are seen as an effective countermeasure, and are…

cs.CR2022★ 1 cited

PublicCheck: Public Integrity Verification for Services of Run-time Deep Models

Shuo Wang, Sharif Abuadbba, Sidharth Agarwal +6

Existing integrity verification approaches for deep models are designed for private verification (i.e., assuming the service provider is honest, with white-box access to model para…