7 citations · 8 across the 5 of their papers we have counts for
5 papers
Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection
Awais Khan, Khalid Mahmood Malik
The Automatic Speaker Verification (ASV) system is vulnerable to fraudulent activities using audio deepfakes, also known as logical-access voice spoofing attacks. These deepfakes p…
Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice Presentation Attacks
Awais Khan, Khalid Mahmood Malik
Automatic Speaker Verification (ASV) systems are increasingly used in voice bio-metrics for user authentication but are susceptible to logical and physical spoofing attacks, posing…
Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection
Awais Khan, Khalid Mahmood Malik, Shah Nawaz
Voice spoofing attacks pose a significant threat to automated speaker verification systems. Existing anti-spoofing methods often simulate specific attack types, such as synthetic o…
Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward
Awais Khan, Khalid Mahmood Malik, James Ryan +1
Malicious actors may seek to use different voice-spoofing attacks to fool ASV systems and even use them for spreading misinformation. Various countermeasures have been proposed to…
AMOUN: Asymmetric lightweight cryptographic scheme for wireless group communication
Ahmad Mansour, Khalid M. Malik, Niko Kaso
Multi-recipient cryptographic schemes provide secure communication, between one sender and multiple recipients, in a multi-party group. Providing secure multi-party communication i…