71 citations · 141 across the 6 of their papers we have counts for
7 papers · 1 filter
Towards Robust Deep Neural Networks with BANG
Andras Rozsa, Manuel Gunther, Terrance E. Boult
Machine learning models, including state-of-the-art deep neural networks, are vulnerable to small perturbations that cause unexpected classification errors. This unexpected lack of…
Are Accuracy and Robustness Correlated?
Andras Rozsa, Manuel Günther, Terrance E. Boult
Machine learning models are vulnerable to adversarial examples formed by applying small carefully chosen perturbations to inputs that cause unexpected classification errors. In thi…
LOTS about Attacking Deep Features
Andras Rozsa, Manuel Günther, Terrance E. Boult
Deep neural networks provide state-of-the-art performance on various tasks and are, therefore, widely used in real world applications. DNNs are becoming frequently utilized in biom…
AFFACT - Alignment-Free Facial Attribute Classification Technique
Manuel Günther, Andras Rozsa, Terrance E. Boult
Facial attributes are soft-biometrics that allow limiting the search space, e.g., by rejecting identities with non-matching facial characteristics such as nose sizes or eyebrow sha…
Adversarial Diversity and Hard Positive Generation
Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
State-of-the-art deep neural networks suffer from a fundamental problem - they misclassify adversarial examples formed by applying small perturbations to inputs. In this paper, we…
Are Facial Attributes Adversarially Robust?
Andras Rozsa, Manuel Günther, Ethan M. Rudd +1
Facial attributes are emerging soft biometrics that have the potential to reject non-matches, for example, based on mismatching gender. To be usable in stand-alone systems, facial…
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions
Ethan M. Rudd, Andras Rozsa, Manuel Günther +1
As our professional, social, and financial existences become increasingly digitized and as our government, healthcare, and military infrastructures rely more on computer technologi…