Ashish Bajaj
According to our database1,
Ashish Bajaj
authored at least 7 papers
between 2018 and 2025.
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Bibliography
2025
HOMOGRAPH: a novel textual adversarial attack architecture to unmask the susceptibility of linguistic acceptability classifiers.
Int. J. Inf. Sec., February, 2025
2024
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms.
Int. J. Inf. Sec., August, 2024
Multim. Tools Appl., January, 2024
2023
Neurocomputing, November, 2023
HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers.
Eng. Appl. Artif. Intell., November, 2023
Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023
2018
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018