| Oracle-guided component-based program synthesis S Jha, S Gulwani, SA Seshia, A Tiwari Proceedings of the 32nd ACM/IEEE International Conference on Software …, 2010 | 660 | 2010 |
| Synthesis of loop-free programs S Gulwani, S Jha, A Tiwari, R Venkatesan Proceedings of the 32nd ACM SIGPLAN conference on Programming language …, 2011 | 460 | 2011 |
| Output range analysis for deep feedforward neural networks S Dutta, S Jha, S Sankaranarayanan, A Tiwari NASA Formal Methods Symposium, 121-138, 2018 | 397 | 2018 |
| Randomization based probabilistic approach to detect trojan circuits S Jha, SK Jha 2008 11th IEEE High Assurance Systems Engineering Symposium, 117-124, 2008 | 173 | 2008 |
| A theory of formal synthesis via inductive learning S Jha, SA Seshia Acta Informatica 54, 693-726, 2017 | 171 | 2017 |
| 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 | 135* | 2020 |
| Output range analysis for deep neural networks S Dutta, S Jha, S Sanakaranarayanan, A Tiwari arXiv preprint arXiv:1709.09130, 2017 | 121 | 2017 |
| Beaver: Engineering an efficient smt solver for bit-vector arithmetic S Jha, R Limaye, SA Seshia Computer Aided Verification: 21st International Conference, CAV 2009 …, 2009 | 113 | 2009 |
| The ELFIN mission V Angelopoulos, E Tsai, L Bingley, C Shaffer, DL Turner, A Runov, W Li, ... Space science reviews 216, 1-45, 2020 | 99 | 2020 |
| Learning task specifications from demonstrations M Vazquez-Chanlatte, S Jha, A Tiwari, MK Ho, S Seshia Advances in neural information processing systems 31, 2018 | 94 | 2018 |
| 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 | 92 | 2018 |
| Learning certified control using contraction metric D Sun, S Jha, C Fan Conference on Robot Learning, 1519-1539, 2021 | 90 | 2021 |
| Safe autonomy under perception uncertainty using chance-constrained temporal logic S Jha, V Raman, D Sadigh, SA Seshia Journal of Automated Reasoning 60, 43-62, 2018 | 84 | 2018 |
| 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 | 80 | 2019 |
| Shelf-life and kinetics of quality change of dried pomegranate arils in flexible packaging M Dak, VR Sagar, SK Jha Food Packaging and Shelf Life 2 (1), 1-6, 2014 | 74 | 2014 |
| 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 | 73 | 2019 |
| 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 | 66 | 2010 |
| Dehallucinating large language models using formal methods guided iterative prompting S Jha, SK Jha, P Lincoln, ND Bastian, A Velasquez, S Neema 2023 IEEE International Conference on Assured Autonomy (ICAA), 149-152, 2023 | 61 | 2023 |
| Toward an internet of battlefield things: A resilience perspective T Abdelzaher, N Ayanian, T Basar, S Diggavi, J Diesner, D Ganesan, ... Computer 51 (11), 24-36, 2018 | 61 | 2018 |
| 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, 364-387, 2019 | 59 | 2019 |
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyDirección de correo verificada de eecs.berkeley.edu
