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Susmit Jha
Susmit Jha
Principal Scientist, SRI International
Verified email at sri.com - Homepage
Title
Cited by
Cited by
Year
Oracle-guided component-based program synthesis
S Jha, S Gulwani, SA Seshia, A Tiwari
2010 ACM/IEEE 32nd International Conference on Software Engineering 1, 215-224, 2010
5612010
Synthesis of loop-free programs
S Gulwani, S Jha, A Tiwari, R Venkatesan
Proceedings of the 32nd ACM SIGPLAN conference on Programming language …, 2011
3992011
Output range analysis for deep feedforward neural networks
S Dutta, S Jha, S Sankaranarayanan, A Tiwari
NASA Formal Methods Symposium, 121-138, 2018
2572018
Randomization based probabilistic approach to detect trojan circuits
S Jha, SK Jha
2008 11th IEEE High Assurance Systems Engineering Symposium, 117-124, 2008
1552008
A theory of formal synthesis via inductive learning
S Jha, SA Seshia
Acta Informatica 54 (7), 693-726, 2017
1222017
Beaver: Engineering an efficient smt solver for bit-vector arithmetic
S Jha, R Limaye, SA Seshia
International Conference on Computer Aided Verification, 668-674, 2009
1002009
Output range analysis for deep neural networks
S Dutta, S Jha, S Sanakaranarayanan, A Tiwari
arXiv preprint arXiv:1709.09130, 2017
862017
Learning task specifications from demonstrations
M Vazquez-Chanlatte, S Jha, A Tiwari, MK Ho, S Seshia
Advances in neural information processing systems 31, 2018
652018
Synthesizing switching logic for safety and dwell-time requirements
S Jha, S Gulwani, SA Seshia, A Tiwari
Proc. 1st ACM/IEEE Intl. Conf. on Cyber-Physical Systems, ICCPS, 22-31, 2010
652010
Safe autonomy under perception uncertainty using chance-constrained temporal logic
S Jha, V Raman, D Sadigh, SA Seshia
Journal of Automated Reasoning 60 (1), 43-62, 2018
582018
Learning and verification of feedback control systems using feedforward neural networks
S Dutta, S Jha, S Sankaranarayanan, A Tiwari
IFAC-PapersOnLine 51 (16), 151-156, 2018
542018
TrojDRL: evaluation of backdoor attacks on deep reinforcement learning
P Kiourti, K Wardega, S Jha, W Li
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
47*2020
Learning certified control using contraction metric
D Sun, S Jha, C Fan
Conference on Robot Learning, 1519-1539, 2021
462021
Sherlock-a tool for verification of neural network feedback systems: demo abstract
S Dutta, X Chen, S Jha, S Sankaranarayanan, A Tiwari
Proceedings of the 22nd ACM International Conference on Hybrid Systems …, 2019
452019
A risk-sensitive finite-time reachability approach for safety of stochastic dynamic systems
MP Chapman, J Lacotte, A Tamar, D Lee, KM Smith, V Cheng, JF Fisac, ...
2019 American Control Conference (ACC), 2958-2963, 2019
432019
Attribution-based confidence metric for deep neural networks
S Jha, S Raj, S Fernandes, SK Jha, S Jha, B Jalaian, G Verma, A Swami
Advances in Neural Information Processing Systems 32, 2019
432019
Synthesis of optimal switching logic for hybrid systems
S Jha, SA Seshia, A Tiwari
Embedded Software (EMSOFT), 2011 Proceedings of the International Conference …, 2011
392011
TeLEx: learning signal temporal logic from positive examples using tightness metric
S Jha, A Tiwari, SA Seshia, T Sahai, N Shankar
Formal Methods in System Design 54 (3), 364-387, 2019
372019
Symbolic reachability analysis of lazy linear hybrid automata
S Jha, BA Brady, SA Seshia
Proceedings of the 5th international conference on Formal modeling and …, 2007
372007
On voting machine design for verification and testability
C Sturton, S Jha, SA Seshia, D Wagner
Proceedings of the 16th ACM conference on Computer and communications …, 2009
352009
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