Generative Adversarial

Generative Adversarial Networks (GANs) are a class of machine learning models designed to generate new data instances that resemble a training dataset. Current research focuses on improving GAN performance and stability across diverse applications, including image enhancement, speech synthesis, and data augmentation, often employing architectures like HiFi-GAN and variations of GANs combined with other neural network types (e.g., autoencoders, transformers). This work is significant due to GANs' ability to address data scarcity issues, improve the quality of synthetic data for various tasks, and enhance the robustness of AI systems against adversarial attacks.

Papers

October 8, 2023

VITS-based Singing Voice Conversion System with DSPGAN post-processing for SVCC2023
Yiquan Zhou, Meng Chen, Yi Lei, Jihua Zhu, Weifeng Zhao
Voice Conversion Generative Adversarial Singing Voice Conversion

October 1, 2023

Quantum generative adversarial learning in photonics
Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong Liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Quantum Physic Generative Adversarial Quantum Hardware Quantum Processor Near Term Quantum Photonic Device Quantum Generative Adversarial Network Quantum Datasets

September 7, 2023

Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, Zachary E. Ross, Kamyar Azizzadenesheli
Development Activity Generative Adversarial External Validation Ground Motion

September 6, 2023

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network
Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji
Generative Adversarial Network Adversarial Learning Generative Adversarial Neural Vocoder Modern Vocoders

August 24, 2023

Model Inversion Attack via Dynamic Memory Learning
Gege Qi, YueFeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
Generative Adversarial Model Inversion Attack Memory Network Model Inversion

August 10, 2023

UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data
Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding
Federated Learning Generative Adversarial Unlabeled Data C Gan Novel Framework Video Classification Resource Constraint

August 8, 2023

Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
Hui Zhang, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu
Generative Adversarial Amplitude Estimation Option Pricing Photonic Computing Classical Computing Photonic Chip Quadratic Speedup Photonic Processor

July 11, 2023

Line Art Colorization of Fakemon using Generative Adversarial Neural Networks
Erick Oliveira Rodrigues, Esteban Clua, Giovani Bernardes Vitor
Adversarial Learning Generative Adversarial Generative Approach Line Art Colorization

July 3, 2023

Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT)
Bushra Sabir, M. Ali Babar, Sharif Abuadbba
Adversarial Attack Adversarial Example Inherent Interpretability Generative Adversarial Adversarial Input Character Transformation Textual Adversarial Example

June 13, 2023

Dynamically Masked Discriminator for Generative Adversarial Networks
Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem
Generative Adversarial Network Generative Adversarial Online Continual Learning Discriminative Model Bi Discriminator

June 6, 2023

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
Ziyue Jiang, Yi Ren, Zhenhui Ye, Jinglin Liu, Chen Zhang, Qian Yang, Shengpeng Ji, Rongjie Huang, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao
Text to Speech Visual Analogue Scale Inductive Bias Generative Adversarial Zero Shot Text to Speech

May 31, 2023

Text-to-Speech Pipeline for Swiss German -- A comparison
Tobias Bollinger, Jan Deriu, Manfred Vogel
Consistent Comparison Text to Speech Speech Synthesis Generative Adversarial Text to Speech Model Swiss German

May 30, 2023

A Federated Channel Modeling System using Generative Neural Networks
Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
Generative Adversarial Network Federated Learning Generative Adversarial Generative Neural Network Path Loss

May 29, 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Generative Model Generative Modeling Knowledge Based Pre Trained Diffusion Model Generative Adversarial

May 25, 2023

Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness
Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi
Adversarial Training Adversarial Robustness Adversarial Learning Generative Adversarial Adversarial DEfense Adversarial Purification

May 14, 2023

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generative Model Generative Adversarial Network GAN Model Generative Adversarial Local Convergence Gradient Descent Ascent

May 9, 2023

Enhancing Gappy Speech Audio Signals with Generative Adversarial Networks
Deniss Strods, Alan F. Smeaton
Generative Adversarial Network Generative Adversarial Audio Restoration

May 2, 2023

Stratified Adversarial Robustness with Rejection
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Adversarial Training Adversarial Robustness Generative Adversarial Based Rejection Risky Prompt Rejection

April 26, 2023

Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis
Ye-Xin Lu, Yang Ai, Zhen-Hua Ling
Speech Synthesis Generative Adversarial HiFi GAN

April 24, 2023

A Study on Improving Realism of Synthetic Data for Machine Learning
Tingwei Shen, Ganning Zhao, Suya You
Machine Learning Synthetic Data Study Feature Generative Adversarial Synthetic to Real