Chenxu Zhao
15 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint 𧬠Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(78)
β‘
Prolific Year Β· Productive
π
Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(7)
Computer Vision
(6)
Analysis
(6)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Optimization & Theory
(3)
Architectures
(2)
Learning Paradigms
(2)
Computer Science
(1)
Security & Privacy
(1)
Applications
(1)
Keywords
face anti-spoofing
(4)
face recognition
(4)
conformal prediction
(3)
machine unlearning
(3)
few-shot learning
(2)
uncertainty quantification
(2)
neural network interpretability
(2)
representation learning
(2)
presentation attack detection
(2)
deep learning
(2)
biometric authentication
(2)
selective forgetting
(2)
multimodal learning
(1)
false discovery rate
(1)
attention mechanism
(1)
privacy attack
(1)
face detection
(1)
feature attribution
(1)
domain adaptation
(1)
adversarial robustness
(1)
Papers
Quantifying and Understanding Uncertainty in Large Reasoning Models
ACL 2026
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
AAAI 2026
Membership Inference Attacks with False Discovery Rate Control
ICCV 2025
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
AAAI 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
ICML 2024
Data Poisoning Attacks against Conformal Prediction
ICML 2024
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
ICML 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
Static and Sequential Malicious Attacks in the Context of Selective Forgetting
NeurIPS 2023
Searching for Alignment in Face Recognition
AAAI 2021
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
CVPR 2020
Learning Meta Face Recognition in Unseen Domains
CVPR 2020
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
AAAI 2020
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
CVPR 2020
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
CVPR 2019