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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...
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09/26/2022
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
Steganography and digital watermarking are the tasks of hiding recoverab...
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06/09/2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Deep neural network based face recognition models have been shown to be ...
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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...
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10/12/2021
Adapting TTS models For New Speakers using Transfer Learning
Training neural text-to-speech (TTS) models for a new speaker typically ...
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03/04/2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
There has been a recent surge in adversarial attacks on deep learning ba...
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02/15/2021
Cross-modal Adversarial Reprogramming
With the abundance of large-scale deep learning models, it has become po...
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01/30/2021
Expressive Neural Voice Cloning
Voice cloning is the task of learning to synthesize the voice of an unse...
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11/19/2020
Adversarial Threats to DeepFake Detection: A Practical Perspective
Facially manipulated images and videos or DeepFakes can be used maliciou...
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02/09/2020
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA
Autoregressive convolutional neural networks (CNNs) have been widely exp...
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05/09/2019
Universal Adversarial Perturbations for Speech Recognition Systems
In this work, we demonstrate the existence of universal adversarial audi...
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04/16/2019
Expediting TTS Synthesis with Adversarial Vocoding
Recent approaches in text-to-speech (TTS) synthesis employ neural networ...
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09/06/2018
Adversarial Reprogramming of Sequence Classification Neural Networks
Adversarial Reprogramming has demonstrated success in utilizing pre-trai...
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01/10/2017