XDA: Accurate, Robust Disassembly with Transfer Learning. - Kexin Pei; Jonas Guan; David Williams-King; Junfeng Yang; Suman Jana (NDSS, 2021)

StateFormer: fine-grained type recovery from binaries using generative state modeling. - Kexin Pei; Jonas Guan; Matthew Broughton; Zhongtian Chen; Songchen Yao; David Williams-King; Vikas Ummadisetty; Junfeng Yang; Baishakhi Ray; Suman Jana (ESEC/SIGSOFT FSE, 2021)

A Zest of LIME: Towards Architecture-Independent Model Distances. - Hengrui Jia 001; Hongyu Chen; Jonas Guan; Ali Shahin Shamsabadi; Nicolas Papernot (ICLR, 2022)

On the Difficulty of Defending Self-Supervised Learning against Model Extraction. - Adam Dziedzic; Nikita Dhawan; Muhammad Ahmad Kaleem; Jonas Guan; Nicolas Papernot (ICML, 2022)

Dataset Inference for Self-Supervised Models. - Adam Dziedzic; Haonan Duan 002; Muhammad Ahmad Kaleem; Nikita Dhawan; Jonas Guan; Yannis Cattan; Franziska Boenisch; Nicolas Papernot (NeurIPS, 2022)

Temporal-Difference Learning Using Distributed Error Signals. - Jonas Guan; Shon Eduard Verch; Claas Voelcker; Ethan C. Jackson; Nicolas Papernot; William A. Cunningham (NeurIPS, 2024)