Research
Papers on Deep Generative Models
• Zhifeng Kong, Kamalika Chaudhuri.
Data Redaction from Pre-trained GANs from Pre-trained GANs.
In SaTML 2023.
[paper]
[Tag: GAN, Trustworthiness]
• Zhifeng Kong, Scott Alfeld.
Approximate Data Deletion in Generative Models.
ArXiv preprint.
[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.
ArXiv preprint.
[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]
[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]
[Tag: Normalizing Flows, Theory]
• Zhifeng Kong, Kamalika Chaudhuri.
The Expressive Power of Planar Flows.
In The Workshop on Theory of Deep Learning: Where next?
[paper]
[slides]
[poster]
[video]
[Tag: Normalizing Flows, Theory]
Papers on Audio Processing
• 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]
[Tag: Diffusion Model, Speech Synthesis]
• Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro.
Speech Denoising in the Waveform Domain with Self-Attention.
In ICASSP 2022.
[paper]
[demo]
[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 submission.
[Tag: Self Attention, Speech Denoising]
Papers on Privacy
• Zhifeng Kong, Scott Alfeld.
Approximate Data Deletion in Generative Models.
ArXiv preprint.
[paper]
[Tag: Generative Model, Privacy]
• Zhifeng Kong*, Amrita Roy Chowdhury*, Kamalika Chaudhuri.
Forgeability and Membership Inference Attacks.
In AISec 2022.
[Tag: Membership Inference]
• Zhifeng Kong*, Amrita Roy Chowdhury*, Kamalika Chaudhuri.
Can Membership Inferencing be Refuted?
ArXiv preprint.
[paper]
[Tag: Membership Inference]
Other Topics
• Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng.
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space.
In ICLR 2021 GTRL Workshop.
[paper]
[Tag: Representation Learning]
• 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]
• Zhifeng Kong.
Convergence Analysis of Training Two-hidden-layer Partially Over-parameterized ReLU Networks vis Gradient Descent.
In ICNIP 2020.
[paper]
[Tag: Optimization, Theory]
• Zhifeng Kong.
Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural
Networks with l1 and l2 Regularization.
ArXiv preprint.
[paper]
[Tag: Optimization, Theory]
• Xingyu Wan, Qing Zhao, Jinjun Wang, Shunming Deng, Zhifeng Kong.
Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory.
In IEEE ICIP 2018, 788-792.
[paper]
[Tag: LSTM, Object Tracking]
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. [paper]
• Invertible ResNets. [slides]
