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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Denoising Autoencoder-Based Defensive Distillation as an Adversarial Robustness Algorithm Against Data Poisoning Attacks

Participants in the publication
Bakary Badjie (Author)
Unidade de I&D e Inovação
LASIGE
José Cecílio (Author)
Dep. Informática
António Casimiro (Author)
Dep. Informática
LASIGE

Date of Publication
2024-06-06

Where published
ACM SIGAda Ada Letters

Publication Identifiers
ISSN - 1094-3641

Publisher
Association for Computing Machinery (ACM)

Volume
43
Number
2

Number of pages
6
Starting page
30
Last page
35

Document Identifiers
DOI - https://doi.org/10.1145/3672359.3672362
URL - https://doi.org/10.1145/3672359.3672362

Rankings
Google Metrics (2024) - 5


Export

APA
Bakary Badjie, José Cecílio, António Casimiro, (2024). Denoising Autoencoder-Based Defensive Distillation as an Adversarial Robustness Algorithm Against Data Poisoning Attacks. ACM SIGAda Ada Letters, 43, 30-35. ISSN 1094-3641. eISSN . https://doi.org/10.1145/3672359.3672362

IEEE
Bakary Badjie, José Cecílio, António Casimiro, "Denoising Autoencoder-Based Defensive Distillation as an Adversarial Robustness Algorithm Against Data Poisoning Attacks" in ACM SIGAda Ada Letters, vol. 43, pp. 30-35, 2024. 10.1145/3672359.3672362

BIBTEX
@article{63137, author = {Bakary Badjie and José Cecílio and António Casimiro}, title = {Denoising Autoencoder-Based Defensive Distillation as an Adversarial Robustness Algorithm Against Data Poisoning Attacks}, journal = {ACM SIGAda Ada Letters}, year = 2024, pages = {30-35}, volume = 43 }