1 citations · 1 across the 4 of their papers we have counts for
4 papers
Evaluating the Semantic-to-Geometric Gap in Adversarial Defenses Against Vision-Language Model-Based Plagiarism
Christopher Burger, Christina Trotter, Joseph Carlisle +1
The rapidly advancing capabilities of vision-language models (VLMs) present a systemic challenge to academic integrity. VLMs now allow students to bypass meaningful engagement by c…
Improving Stability Estimates in Adversarial Explainable AI through Alternate Search Methods
Christopher Burger, Charles Walter
Advances in the effectiveness of machine learning models have come at the cost of enormous complexity resulting in a poor understanding of how they function. Local surrogate method…
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI
Christopher Burger, Charles Walter, Thai Le +1
Recent work has investigated the concept of adversarial attacks on explainable AI (XAI) in the NLP domain with a focus on examining the vulnerability of local surrogate methods suc…
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
Christopher Burger, Charles Walter, Thai Le
Recent work has investigated the vulnerability of local surrogate methods to adversarial perturbations on a machine learning (ML) model's inputs, where the explanation is manipulat…