14 citations · 45 across the 14 of their papers we have counts for
14 papers
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
Hiroya Kato, Kento Hasegawa, Seira Hidano +1
Graph Contrastive Learning (GCL) is unsupervised graph representation learning that can obtain useful representation of unknown nodes. The node representation can be utilized as fe…
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni +3
Machine Learning (ML) has been instrumental in enabling joint transceiver optimization by merging all physical layer blocks of the end-to-end wireless communication systems. Althou…
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…
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain +3
Video compression plays a significant role in IoT devices for the efficient transport of visual data while satisfying all underlying bandwidth constraints. Deep learning-based vide…
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
Ruisi Zhang, Seira Hidano, Farinaz Koushanfar
Text classification has become widely used in various natural language processing applications like sentiment analysis. Current applications often use large transformer-based langu…
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…
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression
Jung-Woo Chang, Mojan Javaheripi, Seira Hidano +1
Video compression plays a crucial role in video streaming and classification systems by maximizing the end-user quality of experience (QoE) at a given bandwidth budget. In this pap…
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Seira Hidano, Takao Murakami
Differentially private GNNs (Graph Neural Networks) have been recently studied to provide high accuracy in various tasks on graph data while strongly protecting user privacy. In pa…
Node-wise Hardware Trojan Detection Based on Graph Learning
Kento Hasegawa, Kazuki Yamashita, Seira Hidano +3
In the fourth industrial revolution, securing the protection of the supply chain has become an ever-growing concern. One such cyber threat is a hardware Trojan (HT), a malicious mo…
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…
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Seira Hidano, Takao Murakami, Yusuke Kawamoto
Transfer learning has been widely studied and gained increasing popularity to improve the accuracy of machine learning models by transferring some knowledge acquired in different t…
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…