197 citations · 299 across the 47 of their papers we have counts for
9 papers · 1 filter
SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks
Ashish Hooda, Matthew Wallace, Kushal Jhunjhunwalla +2
Voice assistants are deployed widely and provide useful functionality. However, recent work has shown that commercial systems like Amazon Alexa and Google Home are vulnerable to vo…
On the Limitations of Stochastic Pre-processing Defenses
Yue Gao, Ilia Shumailov, Kassem Fawaz +1
Defending against adversarial examples remains an open problem. A common belief is that randomness at inference increases the cost of finding adversarial inputs. An example of such…
CookieEnforcer: Automated Cookie Notice Analysis and Enforcement
Rishabh Khandelwal, Asmit Nayak, Hamza Harkous +1
Online websites use cookie notices to elicit consent from the users, as required by recent privacy regulations like the GDPR and the CCPA. Prior work has shown that these notices u…
Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps
Yucheng Yang, Jack West, George K. Thiruvathukal +2
Video conferencing apps (VCAs) make it possible for previously private spaces -- bedrooms, living rooms, and kitchens -- into semi-public extensions of the office. For the most par…
Experimental Security Analysis of the App Model in Business Collaboration Platforms
Yunang Chen, Yue Gao, Nick Ceccio +3
Business Collaboration Platforms like Microsoft Teams and Slack enable teamwork by supporting text chatting and third-party resource integration. A user can access online file stor…
An Exploration of Multicalibration Uniform Convergence Bounds
Harrison Rosenberg, Robi Bhattacharjee, Kassem Fawaz +1
Recent works have investigated the sample complexity necessary for fair machine learning. The most advanced of such sample complexity bounds are developed by analyzing multicalibra…
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda, Neal Mangaokar, Ryan Feng +3
Detecting diffusion-generated deepfake images remains an open problem. Current detection methods fail against an adversary who adds imperceptible adversarial perturbations to the d…
Tubes Among Us: Analog Attack on Automatic Speaker Identification
Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi +4
Recent years have seen a surge in the popularity of acoustics-enabled personal devices powered by machine learning. Yet, machine learning has proven to be vulnerable to adversarial…
CONFIDANT: A Privacy Controller for Social Robots
Brian Tang, Dakota Sullivan, Bengisu Cagiltay +3
As social robots become increasingly prevalent in day-to-day environments, they will participate in conversations and appropriately manage the information shared with them. However…