6 citations · 6 across the 4 of their papers we have counts for
6 papers
Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy
Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein
Watermarking combines an imperceptible change to an input image that will trigger a detector, to assert provenance and protect intellectual property. The literature has shown great…
Where is the Watermark? Interpretable Watermark Detection at the Block Level
Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein
Recent advances in generative AI have enabled the creation of highly realistic digital content, raising concerns around authenticity, ownership, and misuse. While watermarking has…
AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko +1
We consider the problem of certified robustness for sequence classification against edit distance perturbations. Naturally occurring inputs of varying lengths (e.g., sentences in n…
CERT-ED: Certifiably Robust Text Classification for Edit Distance
Zhuoqun Huang, Neil G Marchant, Olga Ohrimenko +1
With the growing integration of AI in daily life, ensuring the robustness of systems to inference-time attacks is crucial. Among the approaches for certifying robustness to such ad…
Adaptive Data Analysis for Growing Data
Neil G. Marchant, Benjamin I. P. Rubinstein
Reuse of data in adaptive workflows poses challenges regarding overfitting and the statistical validity of results. Previous work has demonstrated that interacting with data via di…
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors
Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts
Entity resolution (record linkage or deduplication) is the process of identifying and linking duplicate records in databases. In this paper, we propose a Bayesian graphical approac…