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Umeå universitet
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Huvudmenyn dold.
Personalbild Charles Meyers

Charles Meyers

Kontakt

E-post
charles.meyers@umu.se
Telefon

Verksam som

Anknytning
Anknuten som forskarstuderande till Institutionen för datavetenskap
Plats
MIT-huset, Umeå universitet, MIT.D.224 Umeå universitet, 901 87 Umeå
A training rate and survival heuristic for inference and robustness evaluation (Trashfire)
Proceedings of 2024 International Conference on Machine Learning and Cybernetics, IEEE 2025 : 613-623
Meyers, Charles; Saleh Sedghpour, Mohammad Reza; Löfstedt, Tommy; et al.
Massively parallel evasion attacks and the pitfalls of adversarial retraining
EAI Endorsed Transactions on Internet of Things, Gent EAI 2024, Vol. 10
Meyers, Charles; Löfstedt, Tommy; Elmroth, Erik
Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems
Artificial Intelligence Review, Elsevier 2023, Vol. 56 : 217-251
Meyers, Charles; Löfstedt, Tommy; Elmroth, Erik
A Cost-Aware Approach to Adversarial Robustness in Neural Networks
Meyers, Charles
deckard: A Declarative Tool for Machine Learning Robustness Evaluation
Meyers, Charles
A Tiny, Client-Side Classifier
Meyers, Charles; MacSween, Aaron; Elmroth, Erik; et al.
A Cost-Aware Approach to Adversarial Robustness in Neural Networks
Meyers, Charles; Saleh Sedghpour, Mohammad Reza; Elmroth, Erik; et al.
Visa publikationer i DiVA

Forskargrupper

Gruppmedlem
Autonomous Distributed Systems Lab