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ORCIDShashank Srikant
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2020 – today
- 2023
[b1]Shashank Srikant:
Understanding Computer Programs: Computational and Cognitive Perspectives. MIT, USA, 2023- [c10]Michael Wang, Shashank Srikant, Malavika Samak, Una-May O'Reilly:
RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. SOAP@PLDI 2023: 63-70 - [c9]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
ClawSAT: Towards Both Robust and Accurate Code Models. SANER 2023: 212-223 - [i5]Shashank Srikant, Anna A. Ivanova, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Evelina Fedorenko, Marina U. Bers, Una-May O'Reilly:
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain. CoRR abs/2304.12373 (2023) - 2022
- [c8]Shashank Srikant, Ben Lipkin, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly:
Convergent Representations of Computer Programs in Human and Artificial Neural Networks. NeurIPS 2022 - [i4]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR abs/2211.11711 (2022) - 2021
- [c7]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR 2021 - [i3]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR abs/2103.11882 (2021) - 2020
- [i2]Shashank Srikant, Nicolas Lesimple, Una-May O'Reilly:
Dependency-Based Neural Representations for Classifying Lines of Programs. CoRR abs/2004.10166 (2020)
2010 – 2019
- 2019
- [j1]Shashank Srikant, Rohit Takhar, Vishal Venugopal, Varun Aggarwal:
Skill evaluation. Commun. ACM 62(11): 60-61 (2019) - 2018
- [c6]Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
Exploring the Use of Autoencoders for Botnets Traffic Representation. IEEE Symposium on Security and Privacy Workshops 2018: 57-62 - [i1]Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR abs/1805.06322 (2018) - 2017
- [c5]Shashank Srikant, Varun Aggarwal:
Introducing Data Science to School Kids. SIGCSE 2017: 561-566 - 2016
- [c4]Varun Aggarwal, Shashank Srikant, Harsh Nisar:
AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers. CODS 2016: 27:1-27:2 - [c3]Gursimran Singh, Shashank Srikant, Varun Aggarwal:
Question Independent Grading using Machine Learning: The Case of Computer Program Grading. KDD 2016: 263-272 - 2014
- [c2]Shashank Srikant, Varun Aggarwal:
A system to grade computer programming skills using machine learning. KDD 2014: 1887-1896 - 2013
- [c1]Shashank Srikant, Varun Aggarwal:
Automatic Grading of Computer Programs: A Machine Learning Approach. ICMLA (1) 2013: 85-92
Coauthor Index
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