Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data. - Nathan Deguara; Junaid Arshad; Anum Paracha; Muhammad Ajmal Azad (IEEE Big Data, 2022)

S.U.S. You're SUS! - Identifying influencer hackers on dark web social networks. - Anum Atique Paracha; Junaid Arshad; Muhammad Mubashir Khan (Comput. Electr. Eng., 2023)

NFTMosaic: Piecing Together Assets in a Unified Blockchain Token. - Mohammed Alsadi 001; Anum Paracha; Junaid Arshad (KSEM (4), 2024)

Exploring Data Poisoning Attacks Against Adversarially Trained Skin Cancer Diagnostics. - Anum Paracha; Junaid Arshad; Mohamed Ben Farah; Khalid Ismail (UCC, 2024)

Machine learning security and privacy: a review of threats and countermeasures. - Anum Paracha; Junaid Arshad; Mohamed Ben Farah; Khalid N. Ismail (EURASIP J. Inf. Secur., 2024)

Deep behavioral analysis of machine learning algorithms against data poisoning. - Anum Paracha; Junaid Arshad; Mohamed Ben Farah; Khalid N. Ismail (Int. J. Inf. Sec., 2025)

Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning. - Anum Paracha; Junaid Arshad; Mohamed Ben Farah; Khalid N. Ismail (Int. J. Inf. Sec., 2025)