Research
Papers on Deep Generative Models
• Zhifeng Kong, Kamalika Chaudhuri.
Data Redaction from Conditional Generative Models.
[paper]
[Tag: Conditional Generative Models, Trustworthiness]
• Zhifeng Kong, Kamalika Chaudhuri.
Data Redaction from Pre-trained GANs.
In SaTML 2023.
[paper]
[video]
[Tag: GAN, Trustworthiness]
• Zhifeng Kong, Scott Alfeld.
Approximate Data Deletion in Generative Models.
In ECAI 2023.
[paper]
[Tag: Generative Model, Privacy, Trustworthiness]
• Zhifeng Kong, Kamalika Chaudhuri.
Understanding Instance-based Interpretability of Variational Auto-Encoders.
In NeurIPS 2021.
[paper]
[code]
[video]
[blog]
[Tag: VAE, Interpretability]
• Zhaoyang Lyu*, Zhifeng Kong*, Xudong Xu, Liang Pan, Dahua Lin.
A conditional point diffusion-refinement paradigm for 3d point cloud completion.
In ICLR 2022.
[paper]
[code]
[Tag: Diffusion Model, Point Cloud Completion]
• Zhifeng Kong, Wei Ping.
On Fast Sampling of Diffusion Probabilistic Models.
In ICML 2021 INNF Workshop.
[paper]
[demo]
[code]
[Tag: Diffusion Model, Sampling]
• Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro.
DiffWave: A Versatile Diffusion Model for Audio Synthesis.
In ICLR 2021 (oral).
[paper]
[demo]
[video]
[code part 1]
[code part 2]
[Tag: Diffusion Model, Speech Synthesis]
• Zhifeng Kong, Kamalika Chaudhuri.
Universal Approximation of Residual Flows in Maximum Mean Discrepancy.
In ICML 2021 INNF Workshop.
[paper]
[video]
[Tag: Normalizing Flows, Theory]
• Zhifeng Kong, Kamalika Chaudhuri.
The Expressive Power of a Class of Normalizing Flow Models.
In AISTATS 2020.
[paper]
[slides]
[blog]
[video (workshop version)]
[Tag: Normalizing Flows, Theory]
Papers on Speech Enhancement
• Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro.
Speech Denoising in the Waveform Domain with Self-Attention.
In ICASSP 2022.
[paper]
[demo]
[code]
[Tag: Self Attention, Speech Denoising]
• Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro.
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram
In INTERSPEECH 2023.
[paper]
[demo]
[Tag: Self Attention, Speech Denoising]
Papers on Trustworthy ML (Supervised Learning)
• Zhifeng Kong*, Amrita Roy Chowdhury*, Kamalika Chaudhuri.
Can Membership Inferencing be Refuted?
[paper]
[Tag: Membership Inference]
• Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel.
Fastened CROWN: Tightened Neural Network Robustness Certificates.
In AAAI 2020.
[paper]
[Tag: Robustness]
Blogs and Technical Reports
• Understanding Instance-based Interpretability of Variational Auto-Encoders. [blog]
• The expressive power of a class of normalizing flow models. [blog]
• Generalization theory for GANs. [slides]
• Notes on generalization properties of GAN metrics. [pdf]
• Invertible ResNets. [slides]
