| Xda: Accurate, robust disassembly with transfer learning K Pei, J Guan, D Williams-King, J Yang, S Jana arXiv preprint arXiv:2010.00770, 2020 | 60 | 2020 |
| StateFormer: fine-grained type recovery from binaries using generative state modeling K Pei, J Guan, M Broughton, Z Chen, S Yao, D Williams-King, ... Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 51 | 2021 |
| On the difficulty of defending self-supervised learning against model extraction A Dziedzic, N Dhawan, MA Kaleem, J Guan, N Papernot International Conference on Machine Learning, 5757-5776, 2022 | 22 | 2022 |
| A zest of lime: Towards architecture-independent model distances H Jia, H Chen, J Guan, AS Shamsabadi, N Papernot International Conference on Learning Representations, 2021 | 20 | 2021 |
| Dataset inference for self-supervised models A Dziedzic, H Duan, MA Kaleem, N Dhawan, J Guan, Y Cattan, ... Advances in Neural Information Processing Systems 35, 12058-12070, 2022 | 19 | 2022 |
| Local-Forward: Towards Biological Plausibility in Deep Reinforcement Learning J Guan, SE Verch, CA Voelcker, EC Jackson, N Papernot, ... | | |
