From 27eb412028738f792ca3d9739a6f349a3f3063be Mon Sep 17 00:00:00 2001 From: MariaRigaki Date: Mon, 14 Sep 2020 13:15:10 +0200 Subject: [PATCH] Added code repo for ACTIVETHIEF --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7867152..40ea973 100644 --- a/README.md +++ b/README.md @@ -110,7 +110,7 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib - [**Thieves on Sesame Street! Model Extraction of BERT-based APIs**](https://openreview.net/attachment?id=Byl5NREFDr&name=original_pdf) (Krishna et al., 2020) ([code](https://github.com/google-research/language/tree/master/language/bert_extraction)) - [**Cryptanalytic Extraction of Neural Network Models**](https://arxiv.org/pdf/2003.04884.pdf) (Carlini et al., 2020) - [**CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples**](https://www.ndss-symposium.org/ndss-paper/cloudleak-large-scale-deep-learning-models-stealing-through-adversarial-examples/) (Yu et al., 2020) -- [**ACTIVETHIEF: Model Extraction Using Active Learning and Unannotated Public Data**](https://www.aaai.org/ojs/index.php/AAAI/article/view/5432) (Pal et al., 2020) +- [**ACTIVETHIEF: Model Extraction Using Active Learning and Unannotated Public Data**](https://www.aaai.org/ojs/index.php/AAAI/article/view/5432) (Pal et al., 2020) ([code](https://bitbucket.org/iiscseal/activethief/src/master)) - [**Efficiently Stealing your Machine Learning Models**](https://encrypto.de/papers/RST19.pdf) (Reith et al., 2019) - [**Extraction of Complex DNN Models: Real Threat or Boogeyman?**](https://arxiv.org/pdf/1910.05429.pdf) (Atli et al., 2020) - [**Stealing Neural Networks via Timing Side Channels**](https://arxiv.org/pdf/1812.11720.pdf) (Duddu et al., 2019)