Robust Verification
Robust Verification is a formal method within hybrid systems verification that ensures correctness guarantees persist under small perturbations in system parameters, inputs, or environmental conditions, thereby distinguishing it from standard verification approaches that require exact adherence to nominal models.
117
Publications
4.1K
Citations
322
Authors
159
Institutions
Publications per year
2017–2026
49
Parents
117
A Dual Approach to Scalable Verification of Deep Networks
Robert Stanforth, Sven Gowal, Timothy Mann et al. · arXiv (Cornell University) · 2018 · 173 citations · Full text
Swarat Chaudhuri, Sumit Gulwani, Roberto Lublinerman et al. · 2011 · 140 citations
SoK: Certified Robustness for Deep Neural Networks
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159

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
10 publications
263 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
10 publications
676 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
344 citations
IBM (United States)
Armonk, United States
3 h-index
8 publications
732 citations

University of Liverpool
Liverpool, United Kingdom
3 h-index
3 publications
59 citations

UNSW Sydney
Sydney, Australia
3 h-index
3 publications
42 citations
Princeton University
Princeton, United States
3 h-index
3 publications
121 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
474 citations
1–8 of 159
Repository · 7 publications · 451 citations
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4 publications · 232 citations
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2 publications · 60 citations
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TASLP · 2 publications · 101 citations
2
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2 publications · 41 citations
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