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inverting adversarially robust CNNs

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@ -75,6 +75,8 @@ This is an on-going attempt to consolidate interesting efforts in the area of un
* Understanding Deep Image Representations by Inverting Them. _Mahendran & Vedaldi. CVPR 2015_ [pdf](https://arxiv.org/abs/1412.0035)
* Inverting Visual Representations with Convolutional Networks. _Dosovitskiy & Brox. CVPR 2016_ [pdf](https://arxiv.org/abs/1506.02753)
* Neural network inversion beyond gradient descent. _Wong & Kolter. NIPS workshop 2017_ [pdf](http://opt-ml.org/papers/OPT2017_paper_38.pdf)
* Inverting Adversarially Robust Networks for Image Synthesis. _Rojas-Gomez et al. 2021_ [pdf](https://arxiv.org/abs/2106.06927) | [code](https://github.com/renanrojasg/adv_robust_autoencoder)
### A2.2 Inverting Generators
* Image Processing Using Multi-Code GAN Prior. _Gu et al. 2019_ [pdf](https://arxiv.org/abs/1912.07116)