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Testing autonomous vehicles and AI: perspectives and challenges from
  cybersecurity, transparency, robustness and fairness

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness

21 February 2024
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
Patrick Seiniger
Robert Swaim
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
ArXivPDFHTML

Papers citing "Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness"

9 / 9 papers shown
Title
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
J. Schumann
Jeroen Hagenus
Frederik Baymler Mathiesen
Arkady Zgonnikov
AAML
28
0
0
09 May 2025
Towards trustworthy multi-modal motion prediction: Holistic evaluation
  and interpretability of outputs
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Sandra Carrasco Limeros
Sylwia Majchrowska
Joakim Johnander
Christoffer Petersson
Miguel Ángel Sotelo
David Fernández Llorca
40
11
0
28 Oct 2022
Testing predictive automated driving systems: lessons learned and future
  recommendations
Testing predictive automated driving systems: lessons learned and future recommendations
Ruben Izquierdo Gonzalo
Carlota Salinas Maldonado
J. Ruiz
Ignacio Parra Alonso
David Fernández Llorca
Miguel Ángel Sotelo
32
10
0
25 Apr 2022
Detecting Backdoor Attacks Against Point Cloud Classifiers
Detecting Backdoor Attacks Against Point Cloud Classifiers
Zhen Xiang
David J. Miller
Siheng Chen
Xi Li
G. Kesidis
3DPC
AAML
40
15
0
20 Oct 2021
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
124
115
0
24 Aug 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
136
119
0
06 Mar 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
210
435
0
30 Jan 2020
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory
  and Practice
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli
John K. Tsotsos
51
606
0
30 May 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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