activity
20192022
most citedIdentifying Adversarial Sentences by Analyzing Text Complexity

1 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2022

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…

cs.CL2021

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…

cs.CR2020

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…

cs.CR2020

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…

cs.CR2020

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…

cs.CL20191 cited

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…