Juan Zhai
12 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer
π€
Dynamic Duo
(12)
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(63)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(8)
Deep Learning
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Security & Privacy
(2)
Applications
(2)
Optimization & Theory
(2)
Privacy
(2)
Resources & Methods
(2)
Computer Vision
(1)
Keywords
backdoor attack
(4)
trojan attack
(3)
neural network
(3)
large language model
(3)
backdoor defense
(2)
neural network security
(2)
deep neural network
(2)
adversarial attack
(2)
responsible ai
(1)
text-to-image generation
(1)
black-box optimization
(1)
model safety
(1)
adversarial learning
(1)
machine unlearning
(1)
adversarial training
(1)
code generation
(1)
linear approximation
(1)
adversarial behavior
(1)
bias detection
(1)
feature space
(1)
Papers
False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
ACL 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
AAAI 2026
PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and VLM-Guided Optimization
CVPR 2026
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
NAACL 2025
Data-centric NLP Backdoor Defense from the Lens of Memorization
NAACL 2025
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
ICLR 2025
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
ACL 2025
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
CVPR 2024
UNICORN: A Unified Backdoor Trigger Inversion Framework
ICLR 2023
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
CVPR 2022
Rethinking the Reverse-engineering of Trojan Triggers
NeurIPS 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
NeurIPS 2022