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Systematic Testing of Convolutional Neural Networks for Autonomous
  Driving

Systematic Testing of Convolutional Neural Networks for Autonomous Driving

10 August 2017
T. Dreossi
Shromona Ghosh
Alberto L. Sangiovanni-Vincentelli
S. Seshia
ArXivPDFHTML

Papers citing "Systematic Testing of Convolutional Neural Networks for Autonomous Driving"

10 / 10 papers shown
Title
Discovering Closed-Loop Failures of Vision-Based Controllers via
  Reachability Analysis
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Somil Bansal
36
12
0
04 Nov 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
Pasquale Antonante
Heath Nilsen
Luca Carlone
50
24
0
22 May 2022
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
30
66
0
26 Jul 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Monitoring and Diagnosability of Perception Systems
Monitoring and Diagnosability of Perception Systems
Pasquale Antonante
David I. Spivak
Luca Carlone
6
31
0
11 Nov 2020
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
739
0
19 Jun 2019
Compositional Falsification of Cyber-Physical Systems with Machine
  Learning Components
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
T. Dreossi
Alexandre Donzé
S. Seshia
AAML
26
230
0
02 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
Towards Verified Artificial Intelligence
Towards Verified Artificial Intelligence
S. Seshia
Dorsa Sadigh
S. Shankar Sastry
20
203
0
27 Jun 2016
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