9 papers
Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks
Sameek Bhattacharya, Bharath Krishnamurthy, Ajita Rattani
Deep learning-based audio classification systems, including automatic speaker verification, are vulnerable to adversarial attacks. Realistic real-time threat assessment remains dif…
MMFace-DiT: A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation
Bharath Krishnamurthy, Ajita Rattani
Recent multimodal face generation models address the spatial control limitations of text-to-image diffusion models by augmenting text-based conditioning with spatial priors such as…
VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings
Bharath Krishnamurthy, Ajita Rattani
Morphing techniques generate artificial biometric samples that combine features from multiple individuals, allowing each contributor to be verified against a single enrolled templa…
DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process
Mohammad Abu-Shaira, Ajita Rattani, Weishi Shi
Real-world datasets often exhibit temporal dynamics characterized by evolving data distributions. Disregarding this phenomenon, commonly referred to as concept drift, can significa…
WaveVerify: A Novel Audio Watermarking Framework for Media Authentication and Combatting Deepfakes
Aditya Pujari, Ajita Rattani
The rapid advancement of voice generation technologies has enabled the synthesis of speech that is perceptually indistinguishable from genuine human voices. While these innovations…
DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing
Bharath Krishnamurthy, Ajita Rattani
Ocular biometrics in the visible spectrum have emerged as a prominent modality due to their high accuracy, resistance to spoofing, and non-invasive nature. However, morphing attack…