Yan Feng

About Yan Feng

Yan Feng, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of AI Security, Adversarial learning, Federated Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression

Generalizable Black-Box Adversarial Attack with Meta Learning

sqSGD: Locally Private and Communication Efficient Federated Learning

An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval

Semi-supervised robust training with generalized perturbed neighborhood

Deep image prior based defense against adversarial examples

Boosting black-box attack with partially transferred conditional adversarial distribution

Yan Feng Information

University

Position

___

Citations(all)

275

Citations(since 2020)

273

Cited By

45

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Yan Feng Skills & Research Interests

AI Security

Adversarial learning

Federated Learning

Top articles of Yan Feng

Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression

Pattern Recognition

2024/5/1

Bin Chen
Bin Chen

H-Index: 14

Yan Feng
Yan Feng

H-Index: 4

Generalizable Black-Box Adversarial Attack with Meta Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/1/16

sqSGD: Locally Private and Communication Efficient Federated Learning

arXiv preprint arXiv:2206.10565

2022/6/21

An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

2022/4/25

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval

IEEE Transactions on Pattern Analysis & Machine Intelligence

2022/4/1

Semi-supervised robust training with generalized perturbed neighborhood

Pattern Recognition

2022/4/1

Deep image prior based defense against adversarial examples

Pattern Recognition

2022/2/1

Boosting black-box attack with partially transferred conditional adversarial distribution

2022

DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples

2020/10/12

Adversarial attack on deep product quantization network for image retrieval

Proceedings of the AAAI conference on Artificial Intelligence

2020/4/3

See List of Professors in Yan Feng University(Tsinghua University)