research
∙
02/16/2023
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
In this work, we propose a zero-shot voice conversion method using speec...
share
research
∙
09/26/2022
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
Steganography and digital watermarking are the tasks of hiding recoverab...
research
∙
06/09/2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Deep neural network based face recognition models have been shown to be ...
research
∙
04/05/2022
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
Deepfakes and manipulated media are becoming a prominent threat due to t...
research
∙
10/03/2021
Multi-task Voice Activated Framework using Self-supervised Learning
Self-supervised learning methods such as wav2vec 2.0 have shown promisin...
research
∙
03/04/2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
There has been a recent surge in adversarial attacks on deep learning ba...
research
∙
02/15/2021
Cross-modal Adversarial Reprogramming
With the abundance of large-scale deep learning models, it has become po...
research
∙
01/30/2021
Expressive Neural Voice Cloning
Voice cloning is the task of learning to synthesize the voice of an unse...
research
∙
02/09/2020
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA
Autoregressive convolutional neural networks (CNNs) have been widely exp...
research
∙
05/09/2019
Universal Adversarial Perturbations for Speech Recognition Systems
In this work, we demonstrate the existence of universal adversarial audi...
research
∙
09/06/2018