research
∙
08/11/2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
In this paper, we present a comprehensive survey of the current trends f...
share
research
∙
08/06/2023
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation
In this paper, we investigate the vulnerability of MDE to adversarial pa...
research
∙
05/19/2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
In this paper, we present a novel approach for generating naturalistic a...
research
∙
03/03/2023
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens
Machine Learning (ML) architectures have been applied to several applica...
research
∙
03/03/2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
A majority of existing physical attacks in the real world result in cons...
research
∙
03/02/2023
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
In recent years, monocular depth estimation (MDE) has witnessed a substa...
research
∙
03/02/2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems
Vision-based perception modules are increasingly deployed in many applic...
research
∙
11/02/2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks
Machine-learning architectures, such as Convolutional Neural Networks (C...
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...
research
∙
04/18/2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
The real-world use cases of Machine Learning (ML) have exploded over the...
research
∙
01/05/2022
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints
Advances in deep learning have enabled a wide range of promising applica...
research
∙
06/13/2020
