51 citations · 590 across the 70 of their papers we have counts for
7 papers · 1 filter
On Inferring Training Data Attributes in Machine Learning Models
Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar +1
A number of recent works have demonstrated that API access to machine learning models leaks information about the dataset records used to train the models. Further, the work of \ci…
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Nan Wu, Farhad Farokhi, David Smith +1
In this paper, we apply machine learning to distributed private data owned by multiple data owners, entities with access to non-overlapping training datasets. We use noisy, differe…
A Longitudinal Analysis of Online Ad-Blocking Blacklists
Saad Sajid Hashmi, Muhammad Ikram, Mohamed Ali Kaafar
Websites employ third-party ads and tracking services leveraging cookies and JavaScript code, to deliver ads and track users' behavior, causing privacy concerns. To limit online tr…
DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling
Muhammad Ikram, Pierrick Beaume, Mohamed Ali Kaafar
With the number of new mobile malware instances increasing by over 50\% annually since 2012 [24], malware embedding in mobile apps is arguably one of the most serious security issu…
A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists
Benjamin Zi Hao Zhao, Muhammad Ikram, Hassan Jameel Asghar +3
This paper focuses on reporting of Internet malicious activity (or mal-activity in short) by public blacklists with the objective of providing a systematic characterization of what…
The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading
Muhammad Ikram, Rahat Masood, Gareth Tyson +3
The Web is a tangled mass of interconnected services, where websites import a range of external resources from various third-party domains. However, the latter can further load res…