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Day 1 - July 17
 

Session 1 (Chair: Guy Amir)
09:00-09:30
Model Checking the Optimal Behavior of Big Markov Processes: Colin Shea-Blymyer
09:30-10:00
Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation: Mahum Naseer
10:00-10:30
Certified Private Inference on Neural Networks via Lipschitz-Guided Abstraction Refinement: Edoardo Manino
Coffee break
10:30-11:00
Session 2 (Chair: Guy Katz)
11:00-12:30
Invited Talk by Corina Pasareanu
Lunch
12:30-14:00
Session 3 (Chair: Marco Casadio)
14:00-14:30
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification: Benedikt Brückner
14:30-15:00
Verifying Learning-Based Robotic Navigation Systems: Guy Amir
15:00-15:30
Prediction and Control of Stochastic Agents Using Formal Methods: Avraham Raviv
Coffee break
15:30-16:00
Session 4 (Chair: Raya Elsaleh)
16:00-16:30
Robust Training of Neural Networks against Bias Field Perturbations: Patrick Henriksen
16:30-17:00
Towards a Study of Performance for Safe Neural Network Training: Nishant Kheterpal
17:00-17:30
Verifying Global Neural Network Specifications using Hyperproperties: David Boetius

Day 2 - July 18
 

Session 5 (Chair: Guy Katz)
09:00-10:30
Vehicle Tutorial (Part 1): Ekaterina Komendantskaya and Matthew Daggitt
Coffee Break
10:30-11:00
Session 6 (Chair: Guy Katz)
11:00-11:30
Vehicle Tutorial (Part 2): Ekaterina Komendantskaya and Matthew Daggitt
11:30-12:00
Logic of Differentiable Logics: Towards a Uniform Semantics of DL: Ekaterina Komendantskaya
12:00-12:30
DNN Verification, Reachability, and the Exponential Function Problem: Omri Isac
Lunch
12:30-14:00
Session 7 (Chair: Ekaterina Komendantskaya)
14:00-15:30
VNN-COMP: Christopher Brix and Taylor Johnson
Coffee Break
15:30-16:00
Session 8 (Chair: Matthew Daggitt)
16:00-16:30
Supporting Standardization of Neural Networks Verification with VNNLIB and CoCoNet: Stefano Demarchi
16:30-17:00
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification: Marco Casadio
17:00-17:30
A Preliminary Study of Robustness Distributions for Neural Network Verification: Annelot Bosman
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