Shangwei Guo
13 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (5)
🌍
Conference Polyglot
(8)
🌈
Renaissance Researcher
(6)
🐝
Cross-Pollinator
(10)
🤝
Dynamic Duo
(11)
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(12)
❓
The Questioner
Conferences
ICLR (4)
ICML (2)
AAAI (1)
CVPR (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
adversarial attack
(3)
adversarial learning
(2)
text classification
(2)
computer vision
(1)
data augmentation
(1)
in-context learning
(1)
image synthesis
(1)
autonomous driving
(1)
model inversion attack
(1)
monocular depth estimation
(1)
model editing
(1)
collaborative learning
(1)
backdoor attack
(1)
generative adversarial network
(1)
deep neural network
(1)
prompt engineering
(1)
ownership verification
(1)
federated instruction tuning
(1)
natural language processing
(1)
privacy-preserving machine learning
(1)
Papers
ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs
AAAI 2026
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
ICML 2025
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
ICML 2025
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
NIPS 2024
You Only Query Once: An Efficient Label-Only Membership Inference Attack
ICLR 2024
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
ICCV 2023
Extracting Robust Models with Uncertain Examples
ICLR 2023
Text Classification via Large Language Models
EMNLP 2023
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
ICLR 2022
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
NAACL 2022
NASPY: Automated Extraction of Automated Machine Learning Models
ICLR 2022
Privacy-Preserving Collaborative Learning With Automatic Transformation Search
CVPR 2021
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
IJCAI 2021