activity
20182022
most citedMachine Learning for Detecting Data Exfiltration: A Review

13 citations · 23 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CR20229 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

Collaborative analysis of genomic data: vision and challenges

Sara Jafarbeiki, Raj Gaire, Amin Sakzad +2

The cost of DNA sequencing has resulted in a surge of genetic data being utilised to improve scientific research, clinical procedures, and healthcare delivery in recent years. Sinc…

cs.CR20211 cited

Characterizing Malicious URL Campaigns

Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +4

URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers…

cs.CR2021

PrivGenDB: Efficient and privacy-preserving query executions over encrypted SNP-Phenotype database

Sara Jafarbeiki, Amin Sakzad, Shabnam Kasra Kermanshahi +4

Searchable symmetric encryption (SSE) has been used to protect the confidentiality of genomic data while providing substring search and range queries on a sequence of genomic data,…

cs.LG2021

ReinforceBug: A Framework to Generate Adversarial Textual Examples

Bushra Sabir, M. Ali Babar, Raj Gaire

Adversarial Examples (AEs) generated by perturbing original training examples are useful in improving the robustness of Deep Learning (DL) based models. Most prior works, generate…

cs.CR202013 cited

Machine Learning for Detecting Data Exfiltration: A Review

Bushra Sabir, Faheem Ullah, M. Ali Babar +1

Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software Engineering (SE) has recently taken significant steps in proposing countermeasures for d…