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Pardis Pashakhanloo
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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
1632018
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
182022
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
102022
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
72022
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
32018
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
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Articles 1–8