1 citations · 2 across the 9 of their papers we have counts for
5 papers · 1 filter
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima +2
Adversarial attacks reveal serious flaws in deep learning models. More dangerously, these attacks preserve the original meaning and escape human recognition. Existing methods for d…
SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima +1
There are two cases describing how a classifier processes input text, namely, misclassification and correct classification. In terms of misclassified texts, a classifier handles th…
Identifying Adversarial Sentences by Analyzing Text Complexity
Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano +1
Attackers create adversarial text to deceive both human perception and the current AI systems to perform malicious purposes such as spam product reviews and fake political posts. W…
Detecting Machine-Translated Text using Back Translation
Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano +1
Machine-translated text plays a crucial role in the communication of people using different languages. However, adversaries can use such text for malicious purposes such as plagiar…
Detecting Machine-Translated Paragraphs by Matching Similar Words
Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano +1
Machine-translated text plays an important role in modern life by smoothing communication from various communities using different languages. However, unnatural translation may lea…