Isao Echizen
11 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
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Learning Types Β· Machine Learning
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Natural Language Processing
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Computer Vision
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Keywords
adversarial attack
(2)
text classification
(2)
adversarial training
(2)
adversarial robustness
(1)
face detection
(1)
multilingual nlp
(1)
text generation
(1)
natural language generation
(1)
entity embedding
(1)
multimodal learning
(1)
bias detection
(1)
face recognition
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privacy preservation
(1)
deepfake detection
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instance segmentation
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batch normalization
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cross-lingual alignment
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anomaly detection
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contrastive learning
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model compression
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Papers
GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion
WACV 2026
Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge
ACL 2026
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships
WACV 2026
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
ICLR 2025
Analysis of Master Vein Attacks on Finger Vein Recognition Systems
WACV 2023
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
WACV 2023
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
ACL 2023
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification
CoNLL 2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
NAACL 2022
OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild
ICCV 2021
Viable Threat on News Reading: Generating Biased News Using Natural Language Models
EMNLP 2020