We lifted 10 functions out of this paper's own repositories and ran 6 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| DSE-MSU/DeepRobust | canonical | 1 of 1 |
| I-am-Bot/DeepRobust | pwc_unofficial | 5 of 9 |
| Function | Status | Where it lives |
|---|---|---|
| connected_after | Ran | I-am-Bot/DeepRobust/deeprobust/graph/targeted_attack/nettack.py code served (permissive licence) · get_code("e76a55dd6370c052") |
| encode_onehot | Ran | I-am-Bot/DeepRobust/deeprobust/graph/utils.py code served (permissive licence) · get_code("834ca5c476a3f197") |
| filter_singletons | Ran | I-am-Bot/DeepRobust/deeprobust/graph/targeted_attack/nettack.py code served (permissive licence) · get_code("584a4ebd7ec447c3") |
| preprocess | Ran | I-am-Bot/DeepRobust/deeprobust/graph/utils.py code served (permissive licence) · get_code("1007eb388147d7c5") |
| proj_lp | Ran | DSE-MSU/DeepRobust/deeprobust/image/attack/Universal.py code served (permissive licence) · get_code("f800c8aa4f28200b") |
| tensor2onehot | Ran | I-am-Bot/DeepRobust/deeprobust/graph/utils.py code served (permissive licence) · get_code("edde8b8b03e59989") |
| compute_new_a_hat_uv | Not yet run | I-am-Bot/DeepRobust/deeprobust/graph/targeted_attack/nettack.py code served (permissive licence) · get_code("301bb3fd39ebe688") |
| generate_dataloader | Not yet run | I-am-Bot/DeepRobust/deeprobust/image/evaluation_attack.py code served (permissive licence) · get_code("3a260a14cb5e6796") |
| load_net | Not yet run | I-am-Bot/DeepRobust/deeprobust/image/evaluation_attack.py code served (permissive licence) · get_code("055d12d90bb8de9b") |
| node_greedy_actions | Not yet run | I-am-Bot/DeepRobust/deeprobust/graph/rl/nipa_q_net_node.py code served (permissive licence) · get_code("b206a8df7d4cb8c5") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
DeepRobust is a PyTorch adversarial learning library which aims to build a comprehensive and easy-to-use platform to foster this research field. It currently contains more than 10 attack algorithms and 8 defense algorithms in image domain and 9 attack algorithms and 4 defense algorithms in graph domain, under a variety of deep learning architectures. In this manual, we introduce the main contents of DeepRobust with detailed instructions. The library is kept updated and can be found at https://github.com/DSE-MSU/DeepRobust.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2005.06149")
get_code_for_paper("2005.06149")
have("2005.06149")
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