Blogs (1) >>
ICSE 2019
Sat 25 - Fri 31 May 2019 Montreal, QC, Canada
Mon 27 May 2019 14:00 - 14:25 at Foyer - Session 3 Chair(s): Eunsuk Kang

Artificial neural networks (ANN) have displayed considerable utility in a wide range of applications such as image processing, character and pattern recognition, self-driving cars, evolutionary robotics, and non-linear system identification and control. While ANNs are able to carry out complicated tasks efficiently, they are susceptible to unpredictable and errant behavior due to irregularities that emanate from their complex non-linear structure. As a result, there have been reservations about incorporating them into safety-critical systems. In this paper, we propose a reachability analysis method for feed- forward neural networks (FNN) that employ rectified linear units (ReLUs) as activation functions. The crux of our approach relies on three reachable-set computation algorithms, namely exact schemes, lazy-approximate schemes, and mixing schemes. The exact scheme computes an exact reachable set for an FNN, while the lazy-approximate and mixing schemes generate an over-approximation of the exact reachable set. All schemes are designed efficiently to run on parallel platforms to reduce the computation time and enhance the scalability. Our methods are implemented in a MATLAB toolbox called, NNV, and is evaluated using a set of benchmarks that consist of realistic neural networks with sizes that range from tens to a thousand neurons. Notably, NNV successfully computes and visualizes the exact reachable sets represented as a union of tens to hundreds of polyhedra, of the real-world ACAS Xu deep neural networks (DNNs) in the new generation of Airborne Collision Avoidance System X.

Mon 27 May

Displayed time zone: Eastern Time (US & Canada) change

14:00 - 15:30
Session 3FormaliSE at Foyer
Chair(s): Eunsuk Kang Carnegie Mellon University
Parallelizable Reachability Analysis Algorithms for Feed-Forward Neural Networks
Hoang-Dung Tran Vanderbilt University, Patrick Musau Vanderbilt University, Diego Manzanas Lopez Vanderbilt University, Xiao Dong Yang Vanderbilt University, Luan Nguyen University of Pennsylvania, Weiming Xiang Vanderbilt University, Taylor T Johnson Vanderbilt University
Towards Sampling and Simulation-Based Analysis of Featured Weighted Automata
Maxime Cordy SnT, University of Luxembourg, Axel Legay , Sami Lazreg Visteon Electronics and Universite Cote d Azur, Philippe Collet University of Nice
Verifying Channel Communication Correctness for a Multi-Core Cooperatively Scheduled Runtime Using CSP
Jan Pedersen University of Nevada Las Vegas, Kevin Chalmers Edinburgh Napier University
A Generalized Program Verification Workflow Based on Loop Elimination and SA Form
Cláudio Belo Lourenço LRI, Université Paris-Sud & INRIA Saclay, Maria João Frade HASLab/INESC TEC & Universidade do Minho, Portugal, Jorge Sousa Pinto HASLab/INESC TEC & Universidade do Minho, Portugal