Towards robust sensing for Autonomous Vehicles: An adversarial perspective

07/14/2020
by   Apostolos Modas, et al.
0

Autonomous Vehicles rely on accurate and robust sensor observations for safety critical decision-making in a variety of conditions. Fundamental building blocks of such systems are sensors and classifiers that process ultrasound, RADAR, GPS, LiDAR and camera signals <cit.>. It is of primary importance that the resulting decisions are robust to perturbations, which can take the form of different types of nuisances and data transformations, and can even be adversarial perturbations (APs). Adversarial perturbations are purposefully crafted alterations of the environment or of the sensory measurements, with the objective of attacking and defeating the autonomous systems. A careful evaluation of the vulnerabilities of their sensing system(s) is necessary in order to build and deploy safer systems in the fast-evolving domain of AVs. To this end, we survey the emerging field of sensing in adversarial settings: after reviewing adversarial attacks on sensing modalities for autonomous systems, we discuss countermeasures and present future research directions.

READ FULL TEXT
research
06/17/2019

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks

Most state-of-the-art machine learning (ML) classification systems are v...
research
05/27/2022

fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems

Recently, Deep Neural Networks (DNNs) have achieved remarkable performan...
research
01/31/2020

Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles

Sensing and Perception (S P) is a crucial component of an autonomous s...
research
02/04/2023

Certified Robust Control under Adversarial Perturbations

Autonomous systems increasingly rely on machine learning techniques to t...
research
12/28/2022

Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles

The deep neural network (DNN) models for object detection using camera i...
research
12/22/2022

Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles

The development of fully autonomous vehicles (AVs) can potentially elimi...
research
11/02/2022

a-RNA: Adversarial Radio Noise Attack to Fool Radar-based Environment Perception Systems

Due to their robustness to degraded capturing conditions, radars are wid...

Please sign up or login with your details

Forgot password? Click here to reset