Code and pretrained models for paper: Data-Free Adversarial Distillation
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Updated
Nov 28, 2022 - Python
Code and pretrained models for paper: Data-Free Adversarial Distillation
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.
[ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
The official implementation of "DataFreeShield: Defending Adversarial Attacks without Training Data" accepted in ICML 2024.
[ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming*
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