10 citations · 51 across the 32 of their papers we have counts for
34 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…
Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features
Parshuram N. Aarotale, Ajita Rattani
Electromyography (EMG) based hand gesture recognition converts forearm muscle activity into control commands for prosthetics, rehabilitation, and human computer interaction. This p…
Unified Face Matching and Physical-Digital Spoofing Attack Detection
Arun Kunwar, Ajita Rattani
Face recognition technology has dramatically transformed the landscape of security, surveillance, and authentication systems, offering a user-friendly and non-invasive biometric so…
Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition
Parshuram N. Aarotale, Ajita Rattani
EMG-based hand gesture recognition uses electromyographic~(EMG) signals to interpret and classify hand movements by analyzing electrical activity generated by muscle contractions.…
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking
Aakash Varma Nadimpalli, Ajita Rattani
With the significant advances in deep generative models for image and video synthesis, Deepfakes and manipulated media have raised severe societal concerns. Conventional machine le…
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
Ayesha Manzoor, Ajita Rattani
Published research highlights the presence of demographic bias in automated facial attribute classification algorithms, particularly impacting women and individuals with darker ski…
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization
Vinaya Sree Katamneni, Ajita Rattani
In the digital age, the emergence of deepfakes and synthetic media presents a significant threat to societal and political integrity. Deepfakes based on multi-modal manipulation, s…
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran, Ajita Rattani
Published research highlights the presence of demographic bias in automated facial attribute classification. The proposed bias mitigation techniques are mostly based on supervised…
Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals
Parshuram N. Aarotale, Ajita Rattani
Electrocardiograms (ECGs), a medical monitoring technology recording cardiac activity, are widely used for diagnosing cardiac arrhythmia. The diagnosis is based on the analysis of…
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction
Parshuram N. Aarotale, Twyla Hill, Ajita Rattani
Due to an alarming trend related to obesity affecting 93.3 million adults in the United States alone, body mass index (BMI) and body weight have drawn significant interest in vario…
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection
Vinaya Sree Katamneni, Ajita Rattani
Deepfakes are synthetic media generated using deep generative algorithms and have posed a severe societal and political threat. Apart from facial manipulation and synthetic voice,…
Facial Forgery-based Deepfake Detection using Fine-Grained Features
Aakash Varma Nadimpalli, Ajita Rattani
Facial forgery by deepfakes has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deepfake detection methods have been proposed. Mos…
Is Facial Recognition Biased at Near-Infrared Spectrum As Well?
Anoop Krishnan, Brian Neas, Ajita Rattani
Published academic research and media articles suggest face recognition is biased across demographics. Specifically, unequal performance is obtained for women, dark-skinned people,…
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran, Ajita Rattani
Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for…
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection
Aakash Varma Nadimpalli, Ajita Rattani
Facial forgery by deepfakes has raised severe societal concerns. Several solutions have been proposed by the vision community to effectively combat the misinformation on the intern…
An Examination of Bias of Facial Analysis based BMI Prediction Models
Hera Siddiqui, Ajita Rattani, Karl Ricanek +1
Obesity is one of the most important public health problems that the world is facing today. A recent trend is in the development of intervention tools that predict BMI using facial…
On Improving Cross-dataset Generalization of Deepfake Detectors
Aakash Varma Nadimpalli, Ajita Rattani
Facial manipulation by deep fake has caused major security risks and raised severe societal concerns. As a countermeasure, a number of deep fake detection methods have been propose…
Compact CNN Models for On-device Ocular-based User Recognition in Mobile Devices
Ali Almadan, Ajita Rattani
A number of studies have demonstrated the efficacy of deep learning convolutional neural network (CNN) models for ocular-based user recognition in mobile devices. However, these hi…
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
Aakash Varma Nadimpalli, Narsi Reddy, Sreeraj Ramachandran +1
With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled da…