Currently migrating from Twitter (@teuber_dev)
www.teuber.dev
Our (now accepted 🥳) #NeurIPS paper introduces:
- Reusing control theory for NN verification
- Verifying *nonlinear arithmetic* specs on NNs
This guarantees your NN won't behave like this (1/12):
I also had the opportunity to present my #tacas paper on verifying behavioral equivalence of neural networks 😃
I also had the opportunity to present my #tacas paper on verifying behavioral equivalence of neural networks 😃
I'm looking forward to present our new Zonotope-based abstract domain -- we also explored which equivalence properties are more/less amenable to differential verification...
teuber.dev/publication/...
I'm looking forward to present our new Zonotope-based abstract domain -- we also explored which equivalence properties are more/less amenable to differential verification...
teuber.dev/publication/...
You can find the details in the Whova App (-> Meet-ups -> Formal Methods and AI Dinner).
You can find the details in the Whova App (-> Meet-ups -> Formal Methods and AI Dinner).
Our (now accepted 🥳) #NeurIPS paper introduces:
- Reusing control theory for NN verification
- Verifying *nonlinear arithmetic* specs on NNs
This guarantees your NN won't behave like this (1/12):
I'm obviously nitpicking here, but I think it's very meta that quite a few papers on Neural Network Verification are right around the "decision boundary" of the Adversarial Robustness cluster...
I'm obviously nitpicking here, but I think it's very meta that quite a few papers on Neural Network Verification are right around the "decision boundary" of the Adversarial Robustness cluster...
Our (now accepted 🥳) #NeurIPS paper introduces:
- Reusing control theory for NN verification
- Verifying *nonlinear arithmetic* specs on NNs
This guarantees your NN won't behave like this (1/12):
Our (now accepted 🥳) #NeurIPS paper introduces:
- Reusing control theory for NN verification
- Verifying *nonlinear arithmetic* specs on NNs
This guarantees your NN won't behave like this (1/12):