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06/02/2023
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
Adversarial attacks reveal serious flaws in deep learning models. More d...
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05/27/2022
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training
Hardware Trojans (HTs) have become a serious problem, and extermination ...
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10/12/2021
SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
There are two cases describing how a classifier processes input text, na...
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12/31/2020
Lattice-based Signcryption with Equality Test in Standard Model
A signcryption, which is an integration of a public key encryption and a...
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05/09/2020
Lattice-based public key encryption with equality test supporting flexible authorization in standard model
Public key encryption with equality test (PKEET) supports to check wheth...
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05/07/2020
Lattice-based public key encryption with equality test in standard model, revisited
Public key encryption with equality test (PKEET) allows testing whether ...
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12/19/2019
Identifying Adversarial Sentences by Analyzing Text Complexity
Attackers create adversarial text to deceive both human perception and t...
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10/15/2019
Detecting Machine-Translated Text using Back Translation
Machine-translated text plays a crucial role in the communication of peo...
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04/24/2019
