Yao Huang
12 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge π Conference Polyglot (8)
π
Cross-Pollinator
(11)
ποΈ
Keyword Collector
(63)
π
Century Club
(11)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ICCV (3)
AAAI (2)
CVPR (2)
ACL (1)
COLING (1)
ECCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
adversarial attack
(6)
object detection
(2)
physical attack
(2)
domain generalization
(2)
model safety
(1)
text classification
(1)
benchmark evaluation
(1)
text generation
(1)
online learning
(1)
autonomous driving
(1)
prompt engineering
(1)
neural radiance field
(1)
sequence-to-sequence learning
(1)
vision language model
(1)
vision-language model
(1)
adversarial robustness
(1)
multimodal large language model
(1)
jailbreak attack
(1)
retrieval-augmented generation
(1)
continual learning
(1)
Papers
Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts
AAAI 2026
Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space
ACL 2025
When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack
ICCV 2025
STAIR: Improving Safety Alignment with Introspective Reasoning
ICML 2025
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
ICCV 2025
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
ECCV 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
CVPR 2024
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
NIPS 2024
Unified Adversarial Patch for Cross-Modal Attacks in the Physical World
ICCV 2023
Physically Adversarial Infrared Patches With Learnable Shapes and Locations
CVPR 2023
Continual Graph Convolutional Network for Text Classification
AAAI 2023
Automatic Keyphrase Generation by Incorporating Dual Copy Mechanisms in Sequence-to-Sequence Learning
COLING 2022