Yige Li
13 papers · 2021–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(65)
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(10)
Learning Types Β· Machine Learning
(9)
Deep Learning
(8)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(3)
Application Areas
(3)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Techniques
(2)
Security & Privacy
(1)
Generation
(1)
Privacy
(1)
Keywords
backdoor attack
(4)
large language model
(4)
vision-language model
(3)
adversarial learning
(2)
jailbreak attack
(2)
adversarial attack
(2)
adversarial perturbation
(2)
backdoor defense
(2)
deep neural network
(2)
adversarial defense
(2)
feature extraction
(1)
model safety
(1)
machine unlearning
(1)
safety alignment
(1)
model behavior
(1)
neural network security
(1)
zero-shot learning
(1)
model unlearning
(1)
multimodal learning
(1)
model security
(1)
Papers
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
EACL 2026
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
CVPR 2025
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
AAAI 2025
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
ICLR 2025
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
ICML 2025
Detecting Backdoor Samples in Contrastive Language Image Pretraining
ICLR 2025
Do Influence Functions Work on Large Language Models?
EMNLP 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
ICML 2025
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
EMNLP 2025
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
EMNLP 2024
Reconstructive Neuron Pruning for Backdoor Defense
ICML 2023
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
NeurIPS 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
ICLR 2021