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Aashish Kolluri
Aashish Kolluri
PhD student NUS
Verified email at u.nus.edu
Title
Cited by
Cited by
Year
Finding the greedy, prodigal, and suicidal contracts at scale
I Nikolić, A Kolluri, I Sergey, P Saxena, A Hobor
Proceedings of the 34th annual computer security applications conference …, 2018
6482018
Exploiting the laws of order in smart contracts
A Kolluri, I Nikolic, I Sergey, A Hobor, P Saxena
Proceedings of the 28th ACM SIGSOFT international symposium on software …, 2019
1142019
Localizing vulnerabilities statistically from one exploit
S Shen, A Kolluri, Z Dong, P Saxena, A Roychoudhury
Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021
232021
LPGNet: Link Private Graph Networks for Node Classification
A Kolluri, T Baluta, B Hooi, P Saxena
arXiv preprint arXiv:2205.03105, Accepted to CCS'22, 2022
152022
On the security of blockchain consensus protocols
S Das, A Kolluri, P Saxena, H Yu
Information Systems Security: 14th International Conference, ICISS 2018 …, 2018
92018
Private hierarchical clustering in federated networks
A Kolluri, T Baluta, P Saxena
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
82021
Maian
I Nikolic, A Kolluri, A Hobor
URL: https://github. com/ivicanikolicsg/MAIAN, 2020
82020
User-Customizable Transpilation of Scripting Languages
B Wang, A Kolluri, I Nikolić, T Baluta, P Saxena
Proceedings of the ACM on Programming Languages 7 (OOPSLA1), 201-229, 2023
22023
SynGuar: guaranteeing generalization in programming by example
B Wang, T Baluta, A Kolluri, P Saxena
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
12021
Attacking Byzantine Robust Aggregation in High Dimensions
S Choudhary, A Kolluri, P Saxena
arXiv preprint arXiv:2312.14461, 2023
2023
Scalable Neural Network Training over Distributed Graphs
A Kolluri, S Choudhary, B Hooi, P Saxena
arXiv preprint arXiv:2302.13053, 2023
2023
RETEXO: Scalable Neural Network Training over Distributed Graphs
A Kolluri, S Choudhary, B Hooi, P Saxena
arXiv e-prints, arXiv: 2302.13053, 2023
2023
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