ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks. - Swagath Venkataramani; Ashish Ranjan 001; Subarno Banerjee; Dipankar Das 002; Sasikanth Avancha; Ashok Jagannathan; Ajaya Durg; Dheemanth Nagaraj; Bharat Kaul; Pradeep Dubey; Anand Raghunathan (ISCA, 2017)

NullAway: practical type-based null safety for Java. - Subarno Banerjee; Lazaro Clapp; Manu Sridharan (ESEC/SIGSOFT FSE, 2019)

Iodine: Fast Dynamic Taint Tracking Using Rollback-free Optimistic Hybrid Analysis. - Subarno Banerjee; David Devecsery; Peter M. Chen; Satish Narayanasamy (IEEE Symposium on Security and Privacy, 2019)

Sound garbage collection for C using pointer provenance. - Subarno Banerjee; David Devecsery; Peter M. Chen; Satish Narayanasamy (Proc. ACM Program. Lang., 2020)

Cautiously Optimistic Program Analyses for Secure and Reliable Software. - Subarno Banerjee (2021)

Compositional Taint Analysis for Enforcing Security Policies at Scale. - Subarno Banerjee; Siwei Cui; Michael Emmi; Antonio Filieri; Liana Hadarean; Peixuan Li; Linghui Luo; Goran Piskachev; Nicolás Rosner; Aritra Sengupta; Omer Tripp; Jingbo Wang 006 (ESEC/SIGSOFT FSE, 2023)

Inference for Ever-Changing Policy of Taint Analysis. - Wen-Hao Chiang; Peixuan Li; Qiang Zhou 009; Subarno Banerjee; Martin Schäf; Yingjun Lyu; Hoan Nguyen; Omer Tripp (ICSE-SEIP, 2024)