Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward. - Awais Khan 007; Khalid Mahmood Malik; James Ryan; Mikul Saravanan (CoRR, 2022)

Defocus blur detection using novel local directional mean patterns (LDMP) and segmentation via KNN matting. - Awais Khan 007; Aun Irtaza; Ali Javed; Tahira Nazir; Hafiz Malik; Khalid Mahmood Malik; Muhammad Ammar Khan (Frontiers Comput. Sci., 2022)

Toward Realigning Automatic Speaker Verification in the Era of COVID-19. - Awais Khan 007; Ali Javed; Khalid Mahmood Malik; Muhammad Anas Raza; James Ryan; Abdul Khader Jilani Saudagar; Hafiz Malik (Sensors, 2022)

SpoTNet: A spoofing-aware Transformer Network for Effective Synthetic Speech Detection. - Awais Khan 007; Khalid Mahmood Malik (MAD@ICMR, 2023)

Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection. - Awais Khan 007; Khalid Mahmood Malik (WIFS, 2023)

Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice Presentation Attacks. - Awais Khan 007; Khalid Mahmood Malik (CoRR, 2023)

Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures. - Awais Khan 007; Khalid Mahmood Malik; James Ryan; Mikul Saravanan (Artif. Intell. Rev., 2023)

Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection. - Awais Khan 007; Khalid Mahmood Malik; Shah Nawaz (ICASSP, 2024)

Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices. - Awais Khan 007; Ijaz Ul Haq; Khalid Mahmood Malik (CoRR, 2024)

Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures. - Muhammad Umar Farooq; Awais Khan 007; Ijaz Ul Haq; Khalid Mahmood Malik (CoRR, 2024)

Transferable Adversarial Attacks on Audio Deepfake Detection. - Muhammad Umar Farooq; Awais Khan 007; Kutub Uddin; Khalid Mahmood Malik (WACV (Workshops), 2025)

SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks. - Kutub Uddin; Awais Khan 007; Muhammad Umar Farooq; Khalid Mahmood 003 (CoRR, 2025)