4 citations · 13 across the 19 of their papers we have counts for
5 papers · 1 filter
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface
Emory Salaun, Syed Ayon, Kaleel Mahmood +1
The rapid advancement of image-to-text extraction systems and large language models (LLMs) poses new challenges for educational assessment by making assignment materials easy to tr…
Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
Murat Bilgehan Ertan, Ronak Sahu, Phuong Ha Nguyen +2
We introduce ROAR (Robust Object Removal and Re-annotation), a scalable framework for privacy-preserving dataset obfuscation that eliminates sensitive objects instead of modifying…
Distilling Adversarial Robustness Using Heterogeneous Teachers
Jieren Deng, Aaron Palmer, Rigel Mahmood +4
Achieving resiliency against adversarial attacks is necessary prior to deploying neural network classifiers in domains where misclassification incurs substantial costs, e.g., self-…
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood
Authentication systems are vulnerable to model inversion attacks where an adversary is able to approximate the inverse of a target machine learning model. Biometric models are a pr…
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood, Rigel Mahmood, Marten van Dijk
Recent advances in attention-based networks have shown that Vision Transformers can achieve state-of-the-art or near state-of-the-art results on many image classification tasks. Th…