7 citations · 9 across the 13 of their papers we have counts for
9 papers · 1 filter
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
Awais Khan, Kutub Uddin, Khalid Malik
Attributing a synthetic utterance to its originating system remains an open challenge: closed-set models fail to reject unseen synthesizers and produce overconfident predictions. T…
TRACE: Training-Free Partial Audio Deepfake Detection via Embedding Trajectory Analysis of Speech Foundation Models
Awais Khan, Muhammad Umar Farooq, Kutub Uddin +1
Partial audio deepfakes, where synthesized segments are spliced into genuine recordings, are particularly deceptive because most of the audio remains authentic. Existing detectors…
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Kutub Uddin, Muhammad Umar Farooq, Awais Khan +1
The widespread use of generative AI has shown remarkable success in producing highly realistic deepfakes, posing a serious threat to various voice biometric applications, including…
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks
Kutub Uddin, Awais Khan, Muhammad Umar Farooq +1
Audio plays a crucial role in applications like speaker verification, voice-enabled smart devices, and audio conferencing. However, audio manipulations, such as deepfakes, pose sig…
Transferable Adversarial Attacks on Audio Deepfake Detection
Muhammad Umar Farooq, Awais Khan, Kutub Uddin +1
Audio deepfakes pose significant threats, including impersonation, fraud, and reputation damage. To address these risks, audio deepfake detection (ADD) techniques have been develop…
Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices
Awais Khan, Ijaz Ul Haq, Khalid Mahmood Malik
Voice authentication on IoT-enabled smart devices has gained prominence in recent years due to increasing concerns over user privacy and security. The current authentication system…