Earlence Fernandes | DeepAI

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∙ 12/16/2022

SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks

Voice assistants are deployed widely and provide useful functionality. H...

0 Ashish Hooda, et al. ∙

∙ 12/08/2022

Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance

Content scanning systems employ perceptual hashing algorithms to scan us...

0 Ashish Hooda, et al. ∙

∙ 03/08/2022

Analyzing the Security of the Business Collaboration Platform App Model

Business Collaboration Platforms like Microsoft Teams and Slack enable t...

0 Yunang Chen, et al. ∙

∙ 02/14/2021

Exploring Adversarial Robustness of Deep Metric Learning

Deep Metric Learning (DML), a widely-used technique, involves learning a...

11 Thomas Kobber Panum, et al. ∙

∙ 12/16/2020

Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

Kalman Filter (KF) is widely used in various domains to perform sequenti...

0 Yuzhe Ma, et al. ∙

∙ 12/10/2020

Data Privacy in Trigger-Action IoT Systems

Trigger-action platforms (TAPs) allow users to connect independent IoT o...

0 Yunang Chen, et al. ∙

∙ 11/26/2020

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

Physical adversarial examples for camera-based computer vision have so f...

7 Athena Sayles, et al. ∙

∙ 02/17/2020

Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification

We present Survival-OPT, a physical adversarial example algorithm in the...

5 Ryan Feng, et al. ∙

∙ 10/08/2019

New Problems and Solutions in IoT Security and Privacy

In a previous article for S P magazine, we made a case for the new int...

0 Earlence Fernandes, et al. ∙

∙ 05/27/2019

Analyzing the Interpretability Robustness of Self-Explaining Models

Recently, interpretable models called self-explaining models (SEMs) have...

0 Haizhong Zheng, et al. ∙

∙ 09/18/2018

Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

Recent advances in Internet of Things (IoT) have enabled myriad domains ...

0 Z. Berkay Celik, et al. ∙

∙ 07/20/2018

Physical Adversarial Examples for Object Detectors

Deep neural networks (DNNs) are vulnerable to adversarial examples-malic...

2 Kevin Eykholt, et al. ∙

∙ 01/14/2018

Tyche: Risk-Based Permissions for Smart Home Platforms

Emerging smart home platforms, which interface with a variety of physica...

0 Amir Rahmati, et al. ∙

∙ 12/21/2017

Note on Attacking Object Detectors with Adversarial Stickers

Deep learning has proven to be a powerful tool for computer vision and h...

0 Kevin Eykholt, et al. ∙

∙ 01/27/2014

Anception: Application Virtualization For Android

The problem of malware has become significant on Android devices. Librar...

0 Earlence Fernandes, et al. ∙

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