3 papers
cs.CL2023
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models
Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic +1
In this paper, we propose an optimization-based adversarial attack against Neural Machine Translation (NMT) models. First, we propose an optimization problem to generate adversaria…
cs.CR2022
Identifying Emerging Technologies and Leading Companies using Network Dynamics of Patent Clusters: a Cybersecurity Case Study
Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp +2
Strategic decisions rely heavily on non-scientific instrumentation to forecast emerging technologies and leading companies. Instead, we build a fast quantitative system with a smal…
cs.CL2022
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
Recently, it has been shown that, in spite of the significant performance of deep neural networks in different fields, those are vulnerable to adversarial examples. In this paper,…