Name: Haibin Zheng
Type: User
Company: Zhejiang University of Technology
Bio: Haibin Zheng received B.S. and Ph.D. degrees from Zhejiang University of Technology, Hangzhou, China, in 2017 and 2022, respectively. He is currently a universi
Haibin Zheng's Projects
FineFool: Fine Object Contour Attack via Attention, an adversarial attack method combined with attention mechanism
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Certifiable Prioritizing Test Inputs for Deep Neural Networks
Deep learning for gene expression inference
Deepfakes Software For All
A Python package to assess and improve fairness of machine learning models.
Tensorflow's Fairness Evaluation and Visualization Toolkit
A MNIST-like fashion product database. Benchmark :point_right:
We propose GONE, a Generic O(1) NoisE layer added behind any DNNs’ output layer at the inference stage.
Recipe Generation from Food Images
Interpretable White-Box Fairness Testing through Biased Neuron Identification
Physical attack on face, license plate and road sign recognition system
This is the implementation repository of our ICSE 2021 paper: Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis.
RAD-PAW: Reconstructed Adversarial Defense via Pixel Attention Weight
Reverse Cross Entropy Training for Adversarial Detection (NeurIPS 2018)
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
An Open Source Machine Learning Framework for Everyone
Reference models and tools for Cloud TPUs.
Uniform Manifold Approximation and Projection
Video Visual Relation Detection