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2020 – today
- 2024
[c5]Wen-Hao Chiang
, Peixuan Li, Qiang Zhou, Subarno Banerjee, Martin Schäf, Yingjun Lyu, Hoan Nguyen, Omer Tripp:
Inference for Ever-Changing Policy of Taint Analysis. ICSE-SEIP 2024: 452-462- 2023
- [c4]Subarno Banerjee, Siwei Cui, Michael Emmi, Antonio Filieri, Liana Hadarean, Peixuan Li, Linghui Luo, Goran Piskachev, Nicolás Rosner, Aritra Sengupta, Omer Tripp, Jingbo Wang:
Compositional Taint Analysis for Enforcing Security Policies at Scale. ESEC/SIGSOFT FSE 2023: 1985-1996 - 2021
- [b1]Subarno Banerjee:
Cautiously Optimistic Program Analyses for Secure and Reliable Software. University of Michigan, USA, 2021 - 2020
- [j1]Subarno Banerjee, David Devecsery, Peter M. Chen, Satish Narayanasamy:
Sound garbage collection for C using pointer provenance. Proc. ACM Program. Lang. 4(OOPSLA): 176:1-176:28 (2020)
2010 – 2019
- 2019
- [c3]Subarno Banerjee, Lazaro Clapp, Manu Sridharan:
NullAway: practical type-based null safety for Java. ESEC/SIGSOFT FSE 2019: 740-750 - [c2]Subarno Banerjee, David Devecsery, Peter M. Chen, Satish Narayanasamy:
Iodine: Fast Dynamic Taint Tracking Using Rollback-free Optimistic Hybrid Analysis. IEEE Symposium on Security and Privacy 2019: 490-504 - [i1]Subarno Banerjee, Lazaro Clapp, Manu Sridharan:
NullAway: Practical Type-Based Null Safety for Java. CoRR abs/1907.02127 (2019) - 2017
- [c1]Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Dipankar Das, Sasikanth Avancha, Ashok Jagannathan, Ajaya Durg, Dheemanth Nagaraj, Bharat Kaul, Pradeep Dubey, Anand Raghunathan:
ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks. ISCA 2017: 13-26
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