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ORCIDKumar Madhukar
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2020 – today
- 2024
[c19]Sanaa Siddiqui
, Diganta Mukhopadhyay, Mohammad Afzal, Hrishikesh Karmarkar, Kumar Madhukar:
Unifying Syntactic and Semantic Abstractions for Deep Neural Networks. FMICS 2024: 201-219- [c18]Diganta Mukhopadhyay, Sanaa Siddiqui, Hrishikesh Karmarkar, Kumar Madhukar, Guy Katz:
Learning DNN Abstractions using Gradient Descent. ASE 2024: 2299-2303 - [c17]Ravindra Metta, Hrishikesh Karmarkar, Kumar Madhukar, R. Venkatesh, Supratik Chakraborty:
PROTON: PRObes for Termination Or Not (Competition Contribution). TACAS (3) 2024: 393-398 - [i5]Ravindra Metta, Hrishikesh Karmarkar, Kumar Madhukar, R. Venkatesh, Supratik Chakraborty, Samarjit Chakraborty:
A shallow dive into the depths of non-termination checking for C programs. CoRR abs/2409.12985 (2024) - 2023
- [c16]Akshatha Shenoy, Sumanth Prabhu S, Kumar Madhukar, Ron Shemer, Mandayam K. Srivas:
Automated Property Directed Self Composition. ATVA 2023: 139-158 - [c15]Sanaa Siddiqui, Ravindra Metta, Kumar Madhukar:
Towards Multi-Language Static Code Analysis. ISSREW 2023: 81-82 - [c14]Tooba Khan, Kumar Madhukar, Subodh Vishnu Sharma:
Efficient Adversarial Input Generation via Neural Net Patching. PRDC 2023: 30-38 - 2022
- [c13]Diganta Mukhopadhyay, Kumar Madhukar, Mandayam K. Srivas:
Permutation Invariance of Deep Neural Networks with ReLUs. NFM 2022: 318-337 - [i4]Avriti Chauhan, Mohammad Afzal, Hrishikesh Karmarkar, Yizhak Yisrael Elboher, Kumar Madhukar, Guy Katz:
Efficiently Finding Adversarial Examples with DNN Preprocessing. CoRR abs/2211.08706 (2022) - [i3]Tooba Khan, Kumar Madhukar, Subodh Vishnu Sharma:
Efficient Adversarial Input Generation via Neural Net Patching. CoRR abs/2211.16808 (2022) - 2021
- [c12]Sumanth Prabhu S, Grigory Fedyukovich, Kumar Madhukar, Deepak D'Souza:
Specification synthesis with constrained Horn clauses. PLDI 2021: 1203-1217 - [i2]Manish Goyal, Muqsit Azeem, Kumar Madhukar, R. Venkatesh:
Direct Construction of Program Alignment Automata for Equivalence Checking. CoRR abs/2109.01864 (2021) - [i1]Diganta Mukhopadhyay, Kumar Madhukar, Mandayam K. Srivas:
Permutation Invariance of Deep Neural Networks with ReLUs. CoRR abs/2110.09578 (2021) - 2020
- [c11]Jude K. Anil, Sumanth Prabhu S, Kumar Madhukar, R. Venkatesh:
Using hypersafety verification for proving correctness of programming assignments. ICSE (NIER) 2020: 81-84
2010 – 2019
- 2019
- [c10]Grigory Fedyukovich, Sumanth Prabhu, Kumar Madhukar, Aarti Gupta:
Quantified Invariants via Syntax-Guided Synthesis. CAV (1) 2019: 259-277 - 2018
- [c9]Grigory Fedyukovich, Sumanth Prabhu, Kumar Madhukar, Aarti Gupta:
Solving Constrained Horn Clauses Using Syntax and Data. FMCAD 2018: 1-9 - [c8]Muqsit Azeem, Kumar Madhukar, R. Venkatesh:
Generalizing specific-instance interpolation proofs with SyGuS. ICSE (NIER) 2018: 57-60 - [c7]Sumanth Prabhu, Kumar Madhukar, R. Venkatesh:
Efficiently Learning Safety Proofs from Appearance as well as Behaviours. SAS 2018: 326-343 - 2017
- [c6]Kumar Madhukar, Peter Schrammel, Mandayam K. Srivas:
Compositional Safety Refutation Techniques. ATVA 2017: 164-183 - [c5]Anand Yeolekar, Kumar Madhukar, Dipali Bhutada, R. Venkatesh:
Sequentialization Using Timestamps. TAMC 2017: 684-696 - 2015
- [c4]Kumar Madhukar, Mandayam K. Srivas, Björn Wachter, Daniel Kroening, Ravindra Metta:
Verifying synchronous reactive systems using lazy abstraction. DATE 2015: 1571-1574 - [c3]Kumar Madhukar, Björn Wachter, Daniel Kroening, Matt Lewis, Mandayam K. Srivas:
Accelerating Invariant Generation. FMCAD 2015: 105-111 - 2013
- [c2]Kumar Madhukar, Ravindra Metta, Ulka Shrotri, R. Venkatesh:
Trace based reachability verification for statecharts. FormaliSE@ICSE 2013: 22-28 - [c1]Kumar Madhukar, Ravindra Metta, Priyanka Singh, R. Venkatesh:
Reachability Verification of Rhapsody Statecharts. ICST Workshops 2013: 96-101
Coauthor Index
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