65 citations · 108 across the 8 of their papers we have counts for
12 papers
Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation
Sri Hrushikesh Varma Bhupathiraju, Tetsu Ishizue, Nicholas U. Costagliola +4
Stereo cameras are integrated into autonomous systems such as self-driving cars, drones, and robots to offer precise depth estimation in a cost-effective manner compared to LiDAR t…
FACE: Faithful Automatic Concept Extraction
Dipkamal Bhusal, Michael Clifford, Sara Rampazzi +1
Interpreting deep neural networks through concept-based explanations offers a bridge between low-level features and high-level human-understandable semantics. However, existing aut…
Active Localization of Close-range Adversarial Acoustic Sources for Underwater Data Center Surveillance
Adnan Abdullah, David Blow, Sara Rampazzi +1
Underwater data infrastructures offer natural cooling and enhanced physical security compared to terrestrial facilities, but their storage systems remain susceptible to acoustic in…
AquaSonic: Acoustic Manipulation of Underwater Data Center Operations and Resource Management
Jennifer Sheldon, Weidong Zhu, Adnan Abdullah +5
Underwater datacenters (UDCs) hold promise as next-generation data storage due to their energy efficiency and environmental sustainability benefits. While the natural cooling prope…
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis
Dipkamal Bhusal, Md Tanvirul Alam, Monish K. Veerabhadran +3
Deep neural networks for classification are vulnerable to adversarial attacks, where small perturbations to input samples lead to incorrect predictions. This susceptibility, combin…
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception
Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford +3
All vehicles must follow the rules that govern traffic behavior, regardless of whether the vehicles are human-driven or Connected Autonomous Vehicles (CAVs). Road signs indicate lo…
Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses
Yan Long, Pirouz Naghavi, Blas Kojusner +3
Our research discovers how the rolling shutter and movable lens structures widely found in smartphone cameras modulate structure-borne sounds onto camera images, creating a point-o…
You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks
Yulong Cao, S. Hrushikesh Bhupathiraju, Pirouz Naghavi +3
Autonomous Vehicles (AVs) increasingly use LiDAR-based object detection systems to perceive other vehicles and pedestrians on the road. While existing attacks on LiDAR-based autono…
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability
Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale +4
Interpretability, trustworthiness, and usability are key considerations in high-stake security applications, especially when utilizing deep learning models. While these models are…
A Practical Methodology for ML-Based EM Side Channel Disassemblers
Cesar N. Arguello, Hunter Searle, Sara Rampazzi +1
Providing security guarantees for embedded devices with limited interface capabilities is an increasingly crucial task. Although these devices don't have traditional interfaces, th…
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
Nidhi Rastogi, Sara Rampazzi, Michael Clifford +3
Connected autonomous vehicles (CAVs) are anticipated to have built-in AI systems for defending against cyberattacks. Machine learning (ML) models form the basis of many such AI sys…
Trick or Heat? Manipulating Critical Temperature-Based Control Systems Using Rectification Attacks
Yazhou Tu, Sara Rampazzi, Bin Hao +3
Temperature sensing and control systems are widely used in the closed-loop control of critical processes such as maintaining the thermal stability of patients, or in alarm systems…