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ORCIDRahul Sharma 0001
Person information
- affiliation: Microsoft Research, Bengaluru, India
- affiliation (former): Stanford University
Other persons with the same name
- Rahul Sharma — disambiguation page
- Rahul Sharma 0002 — Department of CSE, IISc, Bengaluru, India
- Rahul Sharma 0003
![[0000-0002-2440-5286]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2440-5286")
— University of Queensland, Brisbane, Australia (and 1 more) - Rahul Sharma 0004 — St. Xavier's College, Kolkata, India
- Rahul Sharma 0006 — Salk Institute for Biological Studies, La Jolla, CA, USA (and 1 more)
- Rahul Sharma 0007 — National Institute of Technology, Kurukshetra, India
- Rahul Sharma 0008 — University of Coimbra, Department of Informatics Engineering, Portugal
- Rahul Sharma 0009 — TCS Research & Innovation, Mumbai, India
- Rahul Sharma 0010 — Indian Institute of Technology Kanpur, Department of Electrical Engineering, India
- Rahul Sharma 0011 — Tallinn University of Technology, Estonia
- Rahul Sharma 0012 — Indian Institute of Technology, Delhi, Department of Electrical Engineering, New Delhi, India
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2020 – today
- 2024
[j8]Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma:
SIGMA: Secure GPT Inference with Function Secret Sharing. Proc. Priv. Enhancing Technol. 2024(4): 61-79 (2024)- [c42]Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma:
Orca: FSS-based Secure Training and Inference with GPUs. SP 2024: 597-616 - [i34]Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Manohar Swaminathan:
Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs. CoRR abs/2403.00393 (2024) - [i33]Nausheen Mohammed, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma:
Enabling Memory Safety of C Programs using LLMs. CoRR abs/2404.01096 (2024) - [i32]Sankha Das, Sayak Ray Chowdhury, Nishanth Chandran, Divya Gupta, Satya Lokam, Rahul Sharma:
Communication Efficient Secure and Private Multi-Party Deep Learning. IACR Cryptol. ePrint Arch. 2024: 1471 (2024) - 2023
- [j7]Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen:
End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets. Proc. Priv. Enhancing Technol. 2023(4): 436-451 (2023) - [j6]Wonyeol Lee, Rahul Sharma, Alex Aiken:
Training with Mixed-Precision Floating-Point Assignments. Trans. Mach. Learn. Res. 2023 (2023) - [c41]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Akash Lal, Madanlal Musuvathi, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. EMNLP (Findings) 2023: 9164-9175 - [c40]Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma:
MinUn: Accurate ML Inference on Microcontrollers. LCTES 2023: 26-39 - [c39]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. USENIX Security Symposium 2023: 6329-6346 - [i31]Wonyeol Lee, Rahul Sharma, Alex Aiken:
Training with Mixed-Precision Floating-Point Assignments. CoRR abs/2301.13464 (2023) - [i30]Naman Jain, Shubham Gandhi, Atharv Sonwane, Aditya Kanade, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
StaticFixer: From Static Analysis to Static Repair. CoRR abs/2307.12465 (2023) - [i29]Saikat Chakraborty, Shuvendu K. Lahiri, Sarah Fakhoury, Madanlal Musuvathi, Akash Lal, Aseem Rastogi, Aditya Senthilnathan, Rahul Sharma, Nikhil Swamy:
Ranking LLM-Generated Loop Invariants for Program Verification. CoRR abs/2310.09342 (2023) - [i28]Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty, Pantazis Deligiannis, Shuvendu K. Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma:
Finding Inductive Loop Invariants using Large Language Models. CoRR abs/2311.07948 (2023) - [i27]Neha Jawalkar, Kanav Gupta, Arkaprava Basu, Nishanth Chandran, Divya Gupta, Rahul Sharma:
Orca: FSS-based Secure Training with GPUs. IACR Cryptol. ePrint Arch. 2023: 206 (2023) - [i26]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. IACR Cryptol. ePrint Arch. 2023: 467 (2023) - [i25]Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen:
End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets. IACR Cryptol. ePrint Arch. 2023: 1010 (2023) - [i24]Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma:
SIGMA: Secure GPT Inference with Function Secret Sharing. IACR Cryptol. ePrint Arch. 2023: 1269 (2023) - 2022
- [c38]Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. ICSE 2022: 1219-1231 - [c37]Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi:
SecFloat: Accurate Floating-Point meets Secure 2-Party Computation. SP 2022: 576-595 - [i23]Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran:
Efficient ML Models for Practical Secure Inference. CoRR abs/2209.00411 (2022) - [i22]Shikhar Jaiswal, Rahul Kranti Kiran Goli, Aayan Kumar, Vivek Seshadri, Rahul Sharma:
MinUn: Accurate ML Inference on Microcontrollers. CoRR abs/2210.16556 (2022) - [i21]Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi:
SecFloat: Accurate Floating-Point meets Secure 2-Party Computation. IACR Cryptol. ePrint Arch. 2022: 322 (2022) - 2021
- [c36]Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. FPL 2021: 347-354 - [c35]Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi:
SiRnn: A Math Library for Secure RNN Inference. SP 2021: 1003-1020 - [i20]Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi:
SIRNN: A Math Library for Secure RNN Inference. CoRR abs/2105.04236 (2021) - [i19]Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. CoRR abs/2107.03653 (2021) - [i18]Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P. Lungren:
Production-level Open Source Privacy Preserving Inference in Medical Imaging. CoRR abs/2107.10230 (2021) - [i17]Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. CoRR abs/2112.02969 (2021) - [i16]Deevashwer Rathee, Mayank Rathee, G. Rahul Kranti Kiran, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi:
SIRNN: A Math Library for Secure RNN Inference. IACR Cryptol. ePrint Arch. 2021: 459 (2021) - 2020
- [j5]Aayan Kumar, Vivek Seshadri, Rahul Sharma:
Shiftry: RNN inference in 2KB of RAM. Proc. ACM Program. Lang. 4(OOPSLA): 182:1-182:30 (2020) - [c34]Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow2: Practical 2-Party Secure Inference. CCS 2020: 325-342 - [c33]Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow: Secure TensorFlow Inference. SP 2020: 336-353 - [i15]Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow2: Practical 2-Party Secure Inference. CoRR abs/2010.06457 (2020) - [i14]Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya V. Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare:
Secure Medical Image Analysis with CrypTFlow. CoRR abs/2012.05064 (2020) - [i13]Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow2: Practical 2-Party Secure Inference. IACR Cryptol. ePrint Arch. 2020: 1002 (2020)
2010 – 2019
- 2019
- [c32]Saswat Padhi, Todd D. Millstein, Aditya V. Nori, Rahul Sharma:
Overfitting in Synthesis: Theory and Practice. CAV (1) 2019: 315-334 - [c31]Aditya Jain, Zerina Kapetanovic, Akshit Kumar, Vasuki Narasimha Swamy, Rohit Patil, Deepak Vasisht, Rahul Sharma, Manohar Swaminathan, Ranveer Chandra, Anirudh Badam, Gireeja Ranade, Sudipta N. Sinha, Akshay Uttama Nambi:
Low-cost aerial imaging for small holder farmers. COMPASS 2019: 41-51 - [c30]Osbert Bastani, Rahul Sharma, Lazaro Clapp, Saswat Anand, Alex Aiken:
Eventually Sound Points-To Analysis with Specifications. ECOOP 2019: 11:1-11:28 - [c29]Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi:
EzPC: Programmable and Efficient Secure Two-Party Computation for Machine Learning. EuroS&P 2019: 496-511 - [c28]Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma:
Compiling KB-sized machine learning models to tiny IoT devices. PLDI 2019: 79-95 - [c27]Berkeley R. Churchill, Oded Padon, Rahul Sharma, Alex Aiken:
Semantic program alignment for equivalence checking. PLDI 2019: 1027-1040 - [i12]Saswat Padhi, Todd D. Millstein, Aditya V. Nori, Rahul Sharma:
Overfitting in Synthesis: Theory and Practice (Extended Version). CoRR abs/1905.07457 (2019) - [i11]Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow: Secure TensorFlow Inference. CoRR abs/1909.07814 (2019) - [i10]Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain:
OASIS: ILP-Guided Synthesis of Loop Invariants. CoRR abs/1911.11728 (2019) - [i9]Nishant Kumar, Mayank Rathee, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma:
CrypTFlow: Secure TensorFlow Inference. IACR Cryptol. ePrint Arch. 2019: 1049 (2019) - 2018
- [j4]Wonyeol Lee, Rahul Sharma, Alex Aiken:
On automatically proving the correctness of math.h implementations. Proc. ACM Program. Lang. 2(POPL): 47:1-47:32 (2018) - [c26]Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang:
Active learning of points-to specifications. PLDI 2018: 678-692 - [c25]Tusher Chakraborty, Akshay Uttama Nambi, Ranveer Chandra, Rahul Sharma, Manohar Swaminathan, Zerina Kapetanovic, Jonathan Appavoo:
Fall-curve: A novel primitive for IoT Fault Detection and Isolation. SenSys 2018: 95-107 - [c24]Tusher Chakraborty, Akshay Uttama Nambi, Ranveer Chandra, Rahul Sharma, Manohar Swaminathan, Zerina Kapetanovic:
Sensor Identification and Fault Detection in IoT Systems. SenSys 2018: 375-376 - [c23]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. WWW 2018: 1775-1784 - 2017
- [j3]Manolis Papadakis, Gilbert Louis Bernstein, Rahul Sharma, Alex Aiken, Pat Hanrahan:
Seam: provably safe local edits on graphs. Proc. ACM Program. Lang. 1(OOPSLA): 78:1-78:29 (2017) - [c22]Berkeley R. Churchill, Rahul Sharma, J. F. Bastien, Alex Aiken:
Sound Loop Superoptimization for Google Native Client. ASPLOS 2017: 313-326 - [c21]Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang:
Synthesizing program input grammars. PLDI 2017: 95-110 - [i8]Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang:
Active Learning of Points-To Specifications. CoRR abs/1711.03239 (2017) - [i7]Osbert Bastani, Lazaro Clapp, Saswat Anand, Rahul Sharma, Alex Aiken:
Eventually Sound Points-To Analysis with Missing Code. CoRR abs/1711.03436 (2017) - [i6]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. CoRR abs/1711.07601 (2017) - [i5]Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi:
EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation. IACR Cryptol. ePrint Arch. 2017: 1109 (2017) - 2016
- [b1]Rahul Sharma:
Data-driven verification. Stanford University, USA, 2016 - [j2]Eric Schkufza, Rahul Sharma, Alex Aiken:
Stochastic program optimization. Commun. ACM 59(2): 114-122 (2016) - [j1]Rahul Sharma, Alex Aiken:
From invariant checking to invariant inference using randomized search. Formal Methods Syst. Des. 48(3): 235-256 (2016) - [c20]Zvonimir Pavlinovic, Akash Lal, Rahul Sharma:
Inferring annotations for device drivers from verification histories. ASE 2016: 450-460 - [c19]Sean Treichler, Michael Bauer, Rahul Sharma, Elliott Slaughter, Alex Aiken:
Dependent partitioning. OOPSLA 2016: 344-358 - [c18]Saswat Padhi, Rahul Sharma, Todd D. Millstein:
Data-driven precondition inference with learned features. PLDI 2016: 42-56 - [c17]Wonyeol Lee, Rahul Sharma, Alex Aiken:
Verifying bit-manipulations of floating-point. PLDI 2016: 70-84 - [c16]Stefan Heule, Eric Schkufza, Rahul Sharma, Alex Aiken:
Stratified synthesis: automatically learning the x86-64 instruction set. PLDI 2016: 237-250 - [i4]Osbert Bastani, Rahul Sharma, Alex Aiken, Percy Liang:
Synthesizing Program Input Grammars. CoRR abs/1608.01723 (2016) - 2015
- [c15]Rahul Sharma, Eric Schkufza, Berkeley R. Churchill, Alex Aiken:
Conditionally correct superoptimization. OOPSLA 2015: 147-162 - [c14]Rahul Sharma, Michael Bauer, Alex Aiken:
Verification of producer-consumer synchronization in GPU programs. PLDI 2015: 88-98 - 2014
- [c13]Rahul Sharma, Alex Aiken:
From Invariant Checking to Invariant Inference Using Randomized Search. CAV 2014: 88-105 - [c12]Eric Schkufza, Rahul Sharma, Alex Aiken:
Stochastic optimization of floating-point programs with tunable precision. PLDI 2014: 53-64 - [c11]Rahul Sharma, Aditya V. Nori, Alex Aiken:
Bias-variance tradeoffs in program analysis. POPL 2014: 127-138 - 2013
- [c10]Eric Schkufza, Rahul Sharma, Alex Aiken:
Stochastic superoptimization. ASPLOS 2013: 305-316 - [c9]Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Percy Liang, Aditya V. Nori:
A Data Driven Approach for Algebraic Loop Invariants. ESOP 2013: 574-592 - [c8]Rahul Sharma, Eric Schkufza, Berkeley R. Churchill, Alex Aiken:
Data-driven equivalence checking. OOPSLA 2013: 391-406 - [c7]Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Aditya V. Nori:
Verification as Learning Geometric Concepts. SAS 2013: 388-411 - [c6]Aditya V. Nori, Rahul Sharma:
Termination proofs from tests. ESEC/SIGSOFT FSE 2013: 246-256 - [c5]Shuvendu K. Lahiri, Kenneth L. McMillan, Rahul Sharma, Chris Hawblitzel:
Differential assertion checking. ESEC/SIGSOFT FSE 2013: 345-355 - 2012
- [c4]Rahul Sharma, Aditya V. Nori, Alex Aiken:
Interpolants as Classifiers. CAV 2012: 71-87 - [c3]John C. Mitchell, Rahul Sharma, Deian Stefan, Joe Zimmerman:
Information-Flow Control for Programming on Encrypted Data. CSF 2012: 45-60 - [i3]Eric Schkufza, Rahul Sharma, Alex Aiken:
Stochastic Superoptimization. CoRR abs/1211.0557 (2012) - [i2]John C. Mitchell, Rahul Sharma, Deian Stefan, Joe Zimmerman:
Information-flow control for programming on encrypted data. IACR Cryptol. ePrint Arch. 2012: 205 (2012) - 2011
- [c2]Rahul Sharma, Isil Dillig, Thomas Dillig, Alex Aiken:
Simplifying Loop Invariant Generation Using Splitter Predicates. CAV 2011: 703-719 - [c1]Alex Bain, John C. Mitchell, Rahul Sharma, Deian Stefan, Joe Zimmerman:
A Domain-Specific Language for Computing on Encrypted Data (Invited Talk). FSTTCS 2011: 6-24 - [i1]Alex Bain, John C. Mitchell, Rahul Sharma, Deian Stefan, Joe Zimmerman:
A Domain-Specific Language for Computing on Encrypted Data. IACR Cryptol. ePrint Arch. 2011: 561 (2011)
Coauthor Index
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