most citedVindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT

14 citations · 28 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2023

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations

Yi Han, Matthew Chan, Eric Wengrowski +5

Camera-based autonomous systems that emulate human perception are increasingly being integrated into safety-critical platforms. Consequently, an established body of literature has…

cs.CV2023★ 1 cited

Heteroskedastic Geospatial Tracking with Distributed Camera Networks

Colin Samplawski, Shiwei Fang, Ziqi Wang +3

Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera…

cs.CV2023

Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras

Sandeep Singh Sandha, Bharathan Balaji, Luis Garcia +1

Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of t…

cs.CR2022

Let's Talk Through Physics! Covert Cyber-Physical Data Exfiltration on Air-Gapped Edge Devices

Matthew Chan, Nathaniel Snyder, Marcus Lucas +7

Although organizations are continuously making concerted efforts to harden their systems against network attacks by air-gapping critical systems, attackers continuously adapt and u…

cs.LG2022★ 5 cited

On the amplification of security and privacy risks by post-hoc explanations in machine learning models

Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar +1

A variety of explanation methods have been proposed in recent years to help users gain insights into the results returned by neural networks, which are otherwise complex and opaque…

cs.CV2022★ 6 cited

Automatic Concept Extraction for Concept Bottleneck-based Video Classification

Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia +7

Recent efforts in interpretable deep learning models have shown that concept-based explanation methods achieve competitive accuracy with standard end-to-end models and enable reaso…

eess.SP2022★ 2 cited

PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings

Moustafa Alzantot, Luis Garcia, Mani Srivastava

Generative models such as the variational autoencoder (VAE) and the generative adversarial networks (GAN) have proven to be incredibly powerful for the generation of synthetic data…

cs.CR2022★ 14 cited

VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT

Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot +2

Personalized IoT adapts their behavior based on contextual information, such as user behavior and location. Unfortunately, the fact that personalized IoT adapts to user context ope…