Update README.md

README.md

@@ -41,4 +41,23 @@ Further statistics on the dataset and a set of preliminary experiments performed
 The dataset is also hosted on the [DESSERT Lab Github](https://github.com/dessertlab/Shellcode_IA32).
 
 
-
+Please consider citing our work: 
+```
+@inproceedings{liguori-etal-2021-shellcode,
+    title = "{S}hellcode{\_}{IA}32: A Dataset for Automatic Shellcode Generation",
+    author = "Liguori, Pietro  and
+      Al-Hossami, Erfan  and
+      Cotroneo, Domenico  and
+      Natella, Roberto  and
+      Cukic, Bojan  and
+      Shaikh, Samira",
+    booktitle = "Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)",
+    month = aug,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.nlp4prog-1.7",
+    doi = "10.18653/v1/2021.nlp4prog-1.7",
+    pages = "58--64",
+    abstract = "We take the first step to address the task of automatically generating shellcodes, i.e., small pieces of code used as a payload in the exploitation of a software vulnerability, starting from natural language comments. We assemble and release a novel dataset (Shellcode{\_}IA32), consisting of challenging but common assembly instructions with their natural language descriptions. We experiment with standard methods in neural machine translation (NMT) to establish baseline performance levels on this task.",
+}```