Junfeng Guo
22 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (4)
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Conference Polyglot
(9)
🏃
Academic Marathon
(5)
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Dynamic Duo
(12)
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Unstoppable
(6)
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Century Club
(22)
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Prolific Year
(5)
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Keyword Collector
(74)
Conferences
CVPR (4)
ICLR (4)
ACL (3)
ECCV (3)
ICCV (2)
ICML (2)
NIPS (2)
EMNLP (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(4)
adversarial attack
(3)
intellectual property protection
(2)
intellectual property
(2)
face recognition
(2)
deep neural network
(2)
adversarial example
(2)
ownership verification
(2)
transferable attack
(2)
multi-task learning
(1)
autonomous driving
(1)
adversarial learning
(1)
policy learning
(1)
text-to-image generation
(1)
contrastive learning
(1)
text generation
(1)
instruction tuning
(1)
ai-generated content
(1)
continual learning
(1)
multilingual machine translation
(1)
Papers
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
CVPR 2025
A Watermark for Order-Agnostic Language Models
ICLR 2025
Improved Unbiased Watermark for Large Language Models
ACL 2025
Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
ACL 2025
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
EMNLP 2025
De-mark: Watermark Removal in Large Language Models
ICML 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
ICLR 2025
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
ICML 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
ACL 2024
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark
NIPS 2024
Training A Secure Model against Data-Free Model Extraction
ECCV 2024
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
ECCV 2024
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
NIPS 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition
CVPR 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
ICCV 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
ICLR 2023
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
ICLR 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
CVPR 2022
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
IJCAI 2021
Practical Poisoning Attacks on Neural Networks
ECCV 2020
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
CVPR 2020