1 citations · 2 across the 9 of their papers we have counts for
9 papers
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…
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training
Kento Hasegawa, Seira Hidano, Kohei Nozawa +2
Hardware Trojans (HTs) have become a serious problem, and extermination of them is strongly required for enhancing the security and safety of integrated circuits. An effective solu…
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…
Lattice-based Signcryption with Equality Test in Standard Model
Huy Quoc Le, Dung Hoang Duong, Partha Sarathi Roy +3
A signcryption, which is an integration of a public key encryption and a digital signature, can provide confidentiality and authenticity simultaneously. Additionally, a signcryptio…
Lattice-based public key encryption with equality test supporting flexible authorization in standard model
Dung Hoang Duong, Kazuhide Fukushima, Shinsaku Kiyomoto +3
Public key encryption with equality test (PKEET) supports to check whether two ciphertexts encrypted under different public keys contain the same message or not. PKEET has many int…
CCA2-secure Lattice-based Public Key Encryption with Equality Test in Standard Model
Dung Hoang Duong, Partha Sarathi Roy, Willy Susilo +3
With the rapid growth of cloud storage and cloud computing services, many organisations and users choose to store the data on a cloud server for saving costs. However, due to secur…
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…