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Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract)

Benjamin, A.; Herzoff, J.; Babinkostova, L.; and Serra, E. (January 2022, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence - Student Abstract and Poster Program)

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GAPS: Generality and Precision with Shapley Attribution

Daley, Brian; Ratul, Qudrat E; Serra, E.; Cuzzocrea, Alfredo (January 2022, 2022 {IEEE} International Conference on Big Data (Big Data))

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Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability (Student Abstract)

Fairbanks, J.; Orbe, A.; Patterson, C.; Serra, E.; Scheepers, M. (January 2022, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence - Student Abstract and Poster Program)

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Predicting RNA Mutation Effects through Machine Learning of High-throughput Ribozyme Experiments (Student Abstract).

Kitzhaber, J.; Trapp, A.; Beck, J.; Serra, E.; Spezzano, F.; Hayden, E.; Roberts, J. (January 2022, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence - Student Abstract and Poster Program)

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Transforming the Concept of Memory Reactivation

https://doi.org/10.1016/j.tins.2020.09.006

Favila, Serra E.; Lee, Hongmi; Kuhl, Brice A. (December 2020, Trends in Neurosciences)
null (Ed.)
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ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability.

Fairbanks, J.; Orbe, A.; Patterson, C.; Serra, E.; Scheepers, M. (January 2021, Proceedings of the 2021 IEEE International Conference on Big Data)

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Parietal Representations of Stimulus Features Are Amplified during Memory Retrieval and Flexibly Aligned with Top-Down Goals

https://doi.org/10.1523/jneurosci.0564-18.2018

Favila, Serra E.; Samide, Rosalie; Sweigart, Sarah C.; Kuhl, Brice A. (September 2018, The Journal of Neuroscience)

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