Develo** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
Trustworthy ai: A computational perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …
developments, changing everyone's daily life and profoundly altering the course of human …
Perception-aware multi-sensor fusion for 3d lidar semantic segmentation
Abstract 3D LiDAR (light detection and ranging) semantic segmentation is important in
scene understanding for many applications, such as auto-driving and robotics. For example …
scene understanding for many applications, such as auto-driving and robotics. For example …
Advhat: Real-world adversarial attack on arcface face id system
In this paper we propose a novel easily reproducible technique to attack the best public
Face ID system ArcFace in different shooting conditions. To create an attack, we print the …
Face ID system ArcFace in different shooting conditions. To create an attack, we print the …
Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector
Given the ability to directly manipulate image pixels in the digital input space, an adversary
can easily generate imperceptible perturbations to fool a Deep Neural Network (DNN) …
can easily generate imperceptible perturbations to fool a Deep Neural Network (DNN) …
Stegastamp: Invisible hyperlinks in physical photographs
Printed and digitally displayed photos have the ability to hide imperceptible digital data that
can be accessed through internet-connected imaging systems. Another way to think about …
can be accessed through internet-connected imaging systems. Another way to think about …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Making an invisibility cloak: Real world adversarial attacks on object detectors
We present a systematic study of the transferability of adversarial attacks on state-of-the-art
object detection frameworks. Using standard detection datasets, we train patterns that …
object detection frameworks. Using standard detection datasets, we train patterns that …
AI in health: state of the art, challenges, and future directions
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …
range of disciplines in recent years, including health. The increase in computer hardware …