├── talk_slides_ACL2018.pdf
├── .gitmodules
├── README.md
└── .gitignore


/talk_slides_ACL2018.pdf:
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https://raw.githubusercontent.com/pramodkaushik/acl18_results/HEAD/talk_slides_ACL2018.pdf


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/.gitmodules:
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1 | [submodule "visual_qa_analysis"]
2 | 	path = visual_qa_analysis
3 | 	url = https://github.com/pramodkaushik/visual_qa_analysis.git
4 | [submodule "np_analysis"]
5 | 	path = np_analysis
6 | 	url = https://github.com/pramodkaushik/np_analysis.git
7 | 


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/README.md:
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 1 | # Adversarial Attacks on Question Answering models
 2 | 
 3 | Code to reproduce results in the paper
 4 | 
 5 | Mudrakarta, Pramod Kaushik, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere. "**Did the Model Understand the Question?.**" ACL 2018.
 6 | 
 7 | ```
 8 | @article{mudrakarta2018did,
 9 |   title={Did the Model Understand the Question?},
10 |   author={Mudrakarta, Pramod Kaushik and Taly, Ankur and Sundararajan, Mukund and Dhamdhere, Kedar},
11 |   journal={arXiv preprint arXiv:1805.05492},
12 |   year={2018}
13 | }
14 | ```
15 | 
16 | # Setup
17 | 
18 | Clone the repository using 
19 | 
20 | ```
21 | git clone https://github.com/pramodkaushik/acl18_results.git --recursive
22 | ```
23 | 
24 | # Code for experiments
25 | 
26 | Attacks on Neural Programmer are present in the folder `np_analysis`, and those on visual question answering in `visual_qa_analysis`. Code for computing attributions via Integrated Gradients and to reproduce experiments are in Jupyter notebooks in both these directories. 
27 | 
28 | # Contact
29 | 
30 | Pramod Kaushik Mudrakarta
31 | 
32 | [pramodkm@uchicago.edu](mailto:pramodkm@uchicago.edu)
33 | 


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/.gitignore:
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 10 | .Python
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101 | .mypy_cache/
102 | 


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