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2020 – today
- 2024
[j2]Radu Calinescu
, Calum Imrie, Ravi Mangal, Genaína Nunes Rodrigues, Corina S. Pasareanu, Misael Alpizar Santana, Gricel Vázquez:
Controller Synthesis for Autonomous Systems With Deep-Learning Perception Components. IEEE Trans. Software Eng. 50(6): 1374-1395 (2024)- [c17]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-Based Analysis of Neural Networks via Vision-Language Models. SAIV 2024: 49-77 - [i10]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-based Analysis of Neural Networks via Vision-Language Models. CoRR abs/2403.19837 (2024) - [i9]Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha:
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach. CoRR abs/2407.13594 (2024) - 2023
- [c16]Corina S. Pasareanu, Ravi Mangal, Divya Gopinath, Sinem Getir Yaman, Calum Imrie, Radu Calinescu, Huafeng Yu:
Closed-Loop Analysis of Vision-Based Autonomous Systems: A Case Study. CAV (1) 2023: 289-303 - [c15]Divya Gopinath, Luca Lungeanu, Ravi Mangal, Corina S. Pasareanu, Siqi Xie, Huafeng Yu:
Feature-Guided Analysis of Neural Networks. FASE 2023: 133-142 - [c14]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. ICLR 2023 - [c13]Corina S. Pasareanu, Ravi Mangal, Divya Gopinath, Huafeng Yu:
Assumption Generation for Learning-Enabled Autonomous Systems. RV 2023: 3-22 - [i8]Corina S. Pasareanu, Ravi Mangal, Divya Gopinath, Sinem Getir Yaman, Calum Imrie, Radu Calinescu, Huafeng Yu:
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study. CoRR abs/2302.04634 (2023) - [i7]Corina S. Pasareanu, Ravi Mangal, Divya Gopinath, Huafeng Yu:
Assumption Generation for the Verification of Learning-Enabled Autonomous Systems. CoRR abs/2305.18372 (2023) - [i6]Ravi Mangal, Klas Leino, Zifan Wang, Kai Hu, Weicheng Yu, Corina S. Pasareanu, Anupam Datta, Matt Fredrikson:
Is Certifying 𝓁p Robustness Still Worthwhile? CoRR abs/2310.09361 (2023) - [i5]Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu:
Transfer Attacks and Defenses for Large Language Models on Coding Tasks. CoRR abs/2311.13445 (2023) - 2022
- [j1]Klas Leino, Chi Zhang, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Degradation Attacks on Certifiably Robust Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c12]Ravi Mangal, Corina S. Pasareanu:
A Cascade of Checkers for Run-time Certification of Local Robustness. NSV/FoMLAS@CAV 2022: 15-28 - [c11]Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Self-correcting Neural Networks for Safe Classification. NSV/FoMLAS@CAV 2022: 96-130 - [i4]Radu Calinescu, Calum Imrie, Ravi Mangal, Corina S. Pasareanu, Misael Alpizar Santana, Gricel Vázquez:
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components. CoRR abs/2202.03360 (2022) - [i3]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. CoRR abs/2206.00278 (2022) - 2021
- [b1]Ravi Mangal:
Reasoning about programs in statistically modeled first-order environments. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [i2]Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair. CoRR abs/2107.11445 (2021) - 2020
- [c10]Ravi Mangal, Kartik Sarangmath, Aditya V. Nori, Alessandro Orso:
Probabilistic Lipschitz Analysis of Neural Networks. SAS 2020: 274-309
2010 – 2019
- 2019
- [c9]Ravi Mangal, Aditya V. Nori, Alessandro Orso:
Robustness of neural networks: a probabilistic and practical approach. ICSE (NIER) 2019: 93-96 - [i1]Ravi Mangal, Aditya V. Nori, Alessandro Orso:
Robustness of Neural Networks: A Probabilistic and Practical Approach. CoRR abs/1902.05983 (2019) - 2016
- [c8]Ravi Mangal, Xin Zhang, Aditya Kamath, Aditya V. Nori, Mayur Naik:
Scaling Relational Inference Using Proofs and Refutations. AAAI 2016: 3278-3286 - [c7]Sulekha Kulkarni, Ravi Mangal, Xin Zhang, Mayur Naik:
Accelerating program analyses by cross-program training. OOPSLA 2016: 359-377 - [c6]Xin Zhang, Ravi Mangal, Aditya V. Nori, Mayur Naik:
Query-guided maximum satisfiability. POPL 2016: 109-122 - 2015
- [c5]Ravi Mangal, Xin Zhang, Aditya V. Nori, Mayur Naik:
Volt: A Lazy Grounding Framework for Solving Very Large MaxSAT Instances. SAT 2015: 299-306 - [c4]Ravi Mangal, Xin Zhang, Aditya V. Nori, Mayur Naik:
A user-guided approach to program analysis. ESEC/SIGSOFT FSE 2015: 462-473 - 2014
- [c3]Ravi Mangal, Mayur Naik, Hongseok Yang:
A Correspondence between Two Approaches to Interprocedural Analysis in the Presence of Join. ESOP 2014: 513-533 - [c2]Xin Zhang, Ravi Mangal, Radu Grigore, Mayur Naik, Hongseok Yang:
On abstraction refinement for program analyses in Datalog. PLDI 2014: 239-248 - [c1]Xin Zhang, Ravi Mangal, Mayur Naik, Hongseok Yang:
Hybrid top-down and bottom-up interprocedural analysis. PLDI 2014: 249-258
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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