12 citations · 30 across the 4 of their papers we have counts for
4 papers
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking
Xiyang Luo, Michael Goebel, Elnaz Barshan +1
In this work, we present an efficient multi-bit deep image watermarking method that is cover-agnostic yet also robust to geometric distortions such as translation and scaling as we…
RelatIF: Identifying Explanatory Training Examples via Relative Influence
Elnaz Barshan, Marc-Etienne Brunet, Gintare Karolina Dziugaite
In this work, we focus on the use of influence functions to identify relevant training examples that one might hope "explain" the predictions of a machine learning model. One short…
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad
While progress has been made in crafting visually imperceptible adversarial examples, constructing semantically meaningful ones remains a challenge. In this paper, we propose a fra…
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks
Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong
A promising paradigm for achieving highly efficient deep neural networks is the idea of evolutionary deep intelligence, which mimics biological evolution processes to progressively…