Emerging Trends in Verification of Neural Networks
Tools
alpha,beta-CROWN
auto LiRPA
DiffAI
FastBATLLNN (Fast Box Analysis of Two-Level Lattice Neural Networks)
Marabou Framework, The
NeuralSAT
NNENUM-Nueral Network Enumeration Tool
NNV (Neural Network Verification), a Matlab toolbox
PyRAT
Neural Network Verification
Towards Fast Computation of Certified Robustness for ReLU Networks
ICML 2018
Authors: Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane Boning, Inderjit S. Dhillon, Luca Daniel
Formal Security Analysis of Neural Networks Using Symbolic Intervals
USENIX Security 2018 (SEC'18)
Authors: Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
Evaluating Robustness of Neural Networks with Mixed Integer Programming
ICLR 2019
Authors: Vincent Tjeng, Kai Y. Xiao, Russ Tedrake
The Crown project
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
NeurlPS 2020
Authors: Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
Efficient Neural Network Robustness Certification with General Activation Functions
NeurIPS 2018
Authors: Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
NeuralSAT verification project
Compositional DNN Verification (Spotlight)
NeurIPS 2025
NeuralSAT Verification Tool
CAV 2025
Generating and Checking DNN Verification Proofs
NeurIPS 2025
Competitions
International Verification of Neural Networks Compeition (VNN-COMP):
2023
Institutions
SRI Lab at ETHZ
Gagandeep Singh at FOCAL Lab, UIUC
Aws Albarghouthi at UW–Madison
Companies
LatticeFlow
(a startup spinoff from
SafeAI at ETH Zurich
)