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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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04/04/2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Video compression plays a significant role in IoT devices for the effici...
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09/21/2022
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
Text classification has become widely used in various natural language p...
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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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03/18/2022
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems
Video compression plays a crucial role in enabling video streaming and c...
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02/21/2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Differentially private GNNs (Graph Neural Networks) have been recently s...
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12/04/2021
Node-wise Hardware Trojan Detection Based on Graph Learning
In the Fourth Industrial Revolution (4IR) securing the protection of the...
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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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11/30/2020
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Transfer learning has been widely studied and gained increasing populari...
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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