Zhu, Chang, Li, Ziyang, Xue, Anton, Bajaj, Ati Priya, Gibbs, Wil, Liu, Yibo, Alur, Rajeev, Bao, Tiffany, Dai, Hanjun, Doupé, Adam, Naik, Mayur, Shoshitaishvili, Yan, Wang, Ruoyu, and Machiry, Aravind. TYGR: type inference on stripped binaries using graph neural networks. Retrieved from https://par.nsf.gov/biblio/10585728.

Zhu, Chang, Li, Ziyang, Xue, Anton, Bajaj, Ati Priya, Gibbs, Wil, Liu, Yibo, Alur, Rajeev, Bao, Tiffany, Dai, Hanjun, Doupé, Adam, Naik, Mayur, Shoshitaishvili, Yan, Wang, Ruoyu, & Machiry, Aravind. TYGR: type inference on stripped binaries using graph neural networks. Retrieved from https://par.nsf.gov/biblio/10585728.

Zhu, Chang, Li, Ziyang, Xue, Anton, Bajaj, Ati Priya, Gibbs, Wil, Liu, Yibo, Alur, Rajeev, Bao, Tiffany, Dai, Hanjun, Doupé, Adam, Naik, Mayur, Shoshitaishvili, Yan, Wang, Ruoyu, and Machiry, Aravind. "TYGR: type inference on stripped binaries using graph neural networks". Country unknown/Code not available: Proceedings of the 33rd USENIX Conference on Security Symposium. https://par.nsf.gov/biblio/10585728.

@article{osti_10585728,
place = {Country unknown/Code not available}, title = {TYGR: type inference on stripped binaries using graph neural networks}, url = {https://par.nsf.gov/biblio/10585728}, abstractNote = {}, journal = {}, publisher = {Proceedings of the 33rd USENIX Conference on Security Symposium}, author = {Zhu, Chang and Li, Ziyang and Xue, Anton and Bajaj, Ati Priya and Gibbs, Wil and Liu, Yibo and Alur, Rajeev and Bao, Tiffany and Dai, Hanjun and Doupé, Adam and Naik, Mayur and Shoshitaishvili, Yan and Wang, Ruoyu and Machiry, Aravind}, }