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2020 – today
- 2023
[c5]Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren:
Exploring Distributional Shifts in Large Language Models for Code Analysis. EMNLP 2023: 16298-16314- [c4]Rajat Tandon
, Haoda Wang, Nicolaas Weideman, Shushan Arakelyan, Genevieve Bartlett, Christophe Hauser, Jelena Mirkovic:
Leader: Defense Against Exploit-Based Denial-of-Service Attacks on Web Applications. RAID 2023: 744-758 - [i4]Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren:
Exploring Distributional Shifts in Large Language Models for Code Analysis. CoRR abs/2303.09128 (2023) - 2022
- [c3]Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren:
NS3: Neuro-symbolic Semantic Code Search. NeurIPS 2022 - [i3]Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Garcia, Xiang Ren:
NS3: Neuro-Symbolic Semantic Code Search. CoRR abs/2205.10674 (2022) - 2021
- [j1]Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan:
Bin2vec: learning representations of binary executable programs for security tasks. Cybersecur. 4(1) (2021) - 2020
- [i2]Shushan Arakelyan, Christophe Hauser, Erik Kline, Aram Galstyan:
Towards Learning Representations of Binary Executable Files for Security Tasks. CoRR abs/2002.03388 (2020)
2010 – 2019
- 2019
- [c2]Krisztian Balog, Filip Radlinski, Shushan Arakelyan:
Transparent, Scrutable and Explainable User Models for Personalized Recommendation. SIGIR 2019: 265-274 - 2018
- [c1]Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan:
Mining and Forecasting Career Trajectories of Music Artists. HT 2018: 11-19 - [i1]Shushan Arakelyan, Fred Morstatter, Margaret Martin, Emilio Ferrara, Aram Galstyan:
Mining and Forecasting Career Trajectories of Music Artists. CoRR abs/1805.03324 (2018)
Coauthor Index
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