activity
20192024
most citedUlixes: Facial Recognition Privacy with Adversarial Machine Learning

8 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2024

Quantum Secure Anonymous Communication Networks

Mohammad Saidur Rahman, Stephen DiAdamo, Miralem Mehic +1

Anonymous communication networks (ACNs) enable Internet browsing in a way that prevents the accessed content from being traced back to the user. This allows a high level of privacy…

cs.CV2023★ 1 cited

Privacy Threats in Stable Diffusion Models

Thomas Cilloni, Charles Fleming, Charles Walter

This paper introduces a novel approach to membership inference attacks (MIA) targeting stable diffusion computer vision models, specifically focusing on the highly sophisticated St…

cs.LG2022★ 2 cited

Focused Adversarial Attacks

Thomas Cilloni, Charles Walter, Charles Fleming

Recent advances in machine learning show that neural models are vulnerable to minimally perturbed inputs, or adversarial examples. Adversarial algorithms are optimization problems…

cs.CV2020★ 8 cited

Ulixes: Facial Recognition Privacy with Adversarial Machine Learning

Thomas Cilloni, Wei Wang, Charles Walter +1

Facial recognition tools are becoming exceptionally accurate in identifying people from images. However, this comes at the cost of privacy for users of online services with photo m…

cs.CR2019★ 7 cited

The Smart Speaker Blocker: An Open-Source Privacy Filter for Connected Home Speakers

Ilesanmi Olade, Christopher Champion, Haining Liang +1

The popularity and projected growth of in-home smart speaker assistants, such as Amazon's Echo, has raised privacy concerns among consumers and privacy advocates. Notable questions…