5 citations · 14 across the 10 of their papers we have counts for
10 papers
Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection
Jaskirat Sudan, Hashim Ali, Surya Subramani +1
Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines…
A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection
Hashim Ali, Nithin Sai Adupa, Surya Subramani +1
Self-supervised learning (SSL) has transformed speech processing, with benchmarks such as SUPERB establishing fair comparisons across diverse downstream tasks. Despite it's securit…
LJ-Spoof: A Generatively Varied Corpus for Audio Anti-Spoofing and Synthesis Source Tracing
Surya Subramani, Hashim Ali, Hafiz Malik
Speaker-specific anti-spoofing and synthesis-source tracing are central challenges in audio anti-spoofing. Progress has been hampered by the lack of datasets that systematically va…
Multilingual Dataset Integration Strategies for Robust Audio Deepfake Detection: A SAFE Challenge System
Hashim Ali, Surya Subramani, Lekha Bollinani +3
The SAFE Challenge evaluates synthetic speech detection across three tasks: unmodified audio, processed audio with compression artifacts, and laundered audio designed to evade dete…
Collecting, Curating, and Annotating Good Quality Speech deepfake dataset for Famous Figures: Process and Challenges
Hashim Ali, Surya Subramani, Raksha Varahamurthy +3
Recent advances in speech synthesis have introduced unprecedented challenges in maintaining voice authenticity, particularly concerning public figures who are frequent targets of i…
Augmentation through Laundering Attacks for Audio Spoof Detection
Hashim Ali, Surya Subramani, Hafiz Malik
Recent text-to-speech (TTS) developments have made voice cloning (VC) more realistic, affordable, and easily accessible. This has given rise to many potential abuses of this techno…
Is Audio Spoof Detection Robust to Laundering Attacks?
Hashim Ali, Surya Subramani, Shefali Sudhir +2
Voice-cloning (VC) systems have seen an exceptional increase in the realism of synthesized speech in recent years. The high quality of synthesized speech and the availability of lo…
Protecting Voice-Controlled Devices against LASER Injection Attacks
Hashim Ali, Dhimant Khuttan, Rafi Ud Daula Refat +1
Voice-Controllable Devices (VCDs) have seen an increasing trend towards their adoption due to the small form factor of the MEMS microphones and their easy integration into modern g…
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition
Ali Hassani, Zaid El Shair, Rafi Ud Duala Refat +1
This paper demonstrates a novel approach to improve face-recognition pose-invariance using semantic-segmentation features. The proposed Seg-Distilled-ID network jointly learns iden…
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik +2
Easy access to audio-visual content on social media, combined with the availability of modern tools such as Tensorflow or Keras, open-source trained models, and economical computin…