FLOC 2022: FEDERATED LOGIC CONFERENCE 2022
FOMLAS PROGRAM

Days: Sunday, July 31st Monday, August 1st

Sunday, July 31st

View this program: with abstractssession overviewtalk overviewside by side with other conferences

08:30-09:00Coffee & Refreshments
09:00-10:30 Session 1D

FoMLAS Session 1

Chair:
Location: Ullmann 201
09:00
Why Robust Natural Language Understanding is a Challenge (abstract)
PRESENTER: Marco Casadio
09:30
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks (abstract)
PRESENTER: Matan Ostrovsky
10:00
Neural Networks in Imandra: Matrix Representation as a Verification Choice (abstract)
PRESENTER: Remi Desmartin
10:30-11:00Coffee Break
11:00-12:30 Session 10E

FoMLAS Session 2

Chair:
Location: Ullmann 201
11:00
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations (abstract)
PRESENTER: Jianglin Lan
11:30
A Cascade of Checkers for Run-time Certification of Local Robustness (abstract)
PRESENTER: Ravi Mangal
12:00
RoMA: a Method for Neural Network Robustness Measurement and Assessment (abstract)
PRESENTER: Natan Levy
12:30-14:00Lunch Break

Lunches will be held in Taub hall and in The Grand Water Research Institute.

14:00-15:30 Session 14F

FoMLAS Session 3

Chair:
Location: Ullmann 201
14:00
VNN-COMP 2022 (abstract)
PRESENTER: Mark Müller
15:30-16:00Coffee Break
16:00-17:00 Session 19D

FoMLAS Session 4

Location: Ullmann 201
16:00
Counter-Example Guided Neural Network Compression Refinement (CEG4N) (abstract)
16:30
Goal-Aware RSS for Complex Scenarios via Program Logic (abstract)
Monday, August 1st

View this program: with abstractssession overviewtalk overviewside by side with other conferences

08:30-09:00Coffee & Refreshments
09:00-10:30 Session 26A

FoMLAS Session 5

Location: Ullmann 201
09:00
Scalable Verification of GNN-based Job Schedulers (abstract)
PRESENTER: Haoze Wu
09:30
VPN: Verification of Poisoning in Neural Networks (abstract)
PRESENTER: Youcheng Sun
10:00
Verification-Aided Deep Ensemble Selection (abstract)
PRESENTER: Guy Amir
10:30-11:00Coffee Break
11:00-12:30 Session 31A

FoMLAS Session 6

Chair:
Location: Ullmann 201
11:00
Formal Specification for Learning-Enabled Autonomous Systems (Extended Abstract) (abstract)
PRESENTER: Doron Peled
11:30
Vehicle: A High-Level Language for Embedding Logical Specifications in Neural Networks (abstract)
PRESENTER: Luca Arnaboldi
12:00
Differentiable Logics for Neural Network Verification (abstract)
PRESENTER: Natalia Ślusarz
12:30-14:00Lunch Break

Lunches will be held in Taub hall and in The Grand Water Research Institute.

14:00-15:30 Session 34B

FoMLAS Session 7

Location: Ullmann 201
14:00
Neural Network Verification with Proof Production (abstract)
PRESENTER: Omri Isac
14:30
Efficient Neural Network Verification using Branch and Bound (abstract)
15:30-16:00Coffee Break
16:00-17:00 Session 37B

FoMLAS Session 8

Location: Ullmann 201
16:00
Minimal Multi-Layer Modifications of Deep Neural Networks (abstract)
PRESENTER: Idan Refaeli
16:30
Self-Correcting Neural Networks For Safe Classification (abstract)
PRESENTER: Ravi Mangal
18:30-20:00Workshop Dinner (at the Technion, Taub Terrace Floor 2) - Paid event