Effective program debloating via reinforcement learning K Heo, W Lee, P Pashakhanloo, M Naik Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 163 | 2018 |
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation P Pashakhanloo, A Naik, Y Wang, H Dai, P Maniatis, M Naik The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 18 | 2022 |
PacJam: Securing Dependencies Continuously via Package-Oriented Debloating P Pashakhanloo, A Machiry, H Choi, A Canino, K Heo, I Lee, M Naik 17th ACM ASIA Conference on Computer and Communications Security (ACM …, 2022 | 10 | 2022 |
Learning to Walk over Relational Graphs of Source Code P Pashakhanloo, A Naik, H Dai, P Maniatis, M Naik Deep Learning for Code Workshop, ICLR 2022, 2022 | 7 | 2022 |
Making Break-ups Less Painful: Source-level Support for Transforming Legacy Software into a Network of Tasks N Sultana, A Rao, Z Jin, P Pashakhanloo, H Zhu, K Zhong, BT Loo Proceedings of the 2018 Workshop on Forming an Ecosystem Around Software …, 2018 | 3 | 2018 |
Integrating Declarative Static Analysis With Neural Models of Code P Pashakhanloo University of Pennsylvania, 2023 | | 2023 |
Trace-based Behaviour Analysis of Network Servers N Sultana, A Rao, Z Jin, P Pashakhanloo, H Zhu, V Yegneswaran, BT Loo 2019 15th International Conference on Network and Service Management (CNSM), 1-5, 2019 | | 2019 |
Hashtray: Turning the tables on Scalable Client Classification N Sultana, P Pashakhanloo, Z Jin, A Rao, BT Loo 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | | 2019 |