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08/29/2023
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Neural Machine Translation (NMT) models have been shown to be vulnerable...
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06/14/2023
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models
In this paper, we propose an optimization-based adversarial attack again...
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06/02/2023
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT
Subword tokenization is the de facto standard for tokenization in neural...
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05/20/2023
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
Whenever applicable, the Stochastic Gradient Descent (SGD) has shown its...
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04/20/2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search
Modern machine learning (ML) models are capable of impressive performanc...
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03/21/2023
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Generative Language Models gained significant attention in late 2022 / e...
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03/02/2023
Targeted Adversarial Attacks against Neural Machine Translation
Neural Machine Translation (NMT) systems are used in various application...
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02/02/2023
TransFool: An Adversarial Attack against Neural Machine Translation Models
Deep neural networks have been shown to be vulnerable to small perturbat...
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09/21/2022
Identifying Emerging Technologies and Leading Companies using Network Dynamics of Patent Clusters: a Cybersecurity Case Study
Strategic decisions rely heavily on non-scientific instrumentation to fo...
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06/01/2022
Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale
The advent of the internet, followed shortly by the social media made it...
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03/11/2022
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers
Recently, it has been shown that, in spite of the significant performanc...
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12/09/2021
